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automation 2021


 Theme: Automation & Robotics: Innovations and Advancements in Machine World & Data Analytics

Robotics & Automation Conference 2021  is hosted by EuroSciCon and it points in declare information and offers new thoughts among the engineers, researchers, professors, industrialists and understudies from inquiring about the zone of Robotics & Automation to share their examination encounters and enjoy intuitive talks at the occasion. This logical social occasion ensures that offering the considerations and thoughts will empower and secure you the topic "Investigating topical developments in Bots". Mechanization and Robotics is the most recent slanting innovation in numerous fields particularly in enterprises like assembling, control frameworks, Data mining, and so forth. The present period completely took off with numerous new Artificial Intelligence innovations. In such case, more Software organizations and enterprises were recently presented inside market which clearly demonstrates the market development of Artificial Intelligence. While dissecting the income development of Artificial Intelligence, it exceptionally created from $150 billion USD to $250 billion USD since from 2010-2015. Also, the yearly development rate increments from 20-55 rates, which obviously demonstrates that Software innovation contains tremendous extension in coming years. The conference will be a platform to globalize one research, to share scientific experiences, to gain knowledge on new technologies,  regulations and innovations.  The conference is scheduled for November 23-24, 2020 Webinar.


Track 1 : Automation

A Programmable Logic Controller (or PLC) is a specialised digital controller that can control machines and processes. it monitors inputs, makes decisions, and controls outputs in order to automate machines and processes. A building automation system is a system that controls and monitors building services. These systems can be built up in several different ways. In this chapter a general building automation system for a building with complex requirements due to the activity, such as a hospital, will be described. Real systems usually have several of the features and components described here but not all of them. The Automation level includes all the advanced controllers that controls and regulates the Field level devices in real time. 

  • Electronics Automation and Electrical Engineering
  • Automation Instrument and Device
  • Plc and Micro-Controllers
  • Automation in Chemical Engineering
  • Cloud Computing for Automation
  • Building Automation

Track 2 : Automation tools

SCADA systems are a type of Industrial Control System. They are used to gather information and exercise control from remote locations. In situations where integrated data procurement is as significant as control, SCADA systems are employed to monitor remote units. These systems find applications in distribution processes such as water supply and wastewater collection systems, oil and gas pipelines, electrical utility transmission, and rail and other public transportation systems. SCADA systems perform consolidated control for various process inputs and outputs by integrating Human Machine Interface (HMI) software and data transmission systems with data acquisition systems. The transfer of data between operator terminals, such as Remote Terminal Units (RTUs) and Programmable Logic Controllers (PLCs), and the central host computer is included in SCADA systems. A SCADA system collects relevant data, transfers the data back to a central site, then notifies the home station about the event, implementing the required analysis and control, and then displays the data in a logical and systematic manner using graphs or text, thus enabling the operator to control a whole process in real time.

  • ANN - Artificial neural network
  • DCS - Distributed Control System
  • HMI - Human Machine Interface
  • SCADA - Supervisory Control and Data Acquisition
  • PLC - Programmable Logic Controller
  • Instrumentation
  • Motion Control
  • Robotics

Track 3 : Robots

The concept of biomimetic control, i.e., control systems that mimic biological animals in the way they exercise control, rather than just humans, has led to the definition of a new class of biologically inspired robots that exhibit much greater robustness in performance in unstructured environments than the robots that are currently being built. A key feature of biomimetic robots is their capacity to adapt to the environment and ability to learn and react fast. However, a biomimetic robot is not just about learning and adaptation but also involves novel mechanisms and manipulator structures capable of meeting the enhanced performance requirements. Thus, biomimetic robots are being designed to be substantially more compliant and stable than conventionally controlled robots and will take advantage of new developments in materials, microsystems technology, as well as developments that have led to a deeper understanding of biological behaviour.

  • Robot Control
  • Mobile Robotics
  • Micro and Nano Robots
  • Rescue and Field Robotics
  • Medical Robots and Bio-robotics
  • Space and Underwater Robots
  • SLAM (Simultaneous Localization and Mapping)
  • Assistive Robotics
  • Autonomous Robots
  • Bio-inspired Robotics
  • Biomechanics
  • Biomedical Robots
  • Biomimetic Robotics
  • Humanoid Robots
  • Multi-Robots

Track 4 : Role of Automation in Robotics

Augmented Reality (AR) is a general-purpose term used for any view of reality where elements of that view are augmented with virtual imagery. Augmented Reality (AR) is a technology where the reality is augmented, enhanced with different types of virtual information. This information can be e.g. 3D models, text and images. With AR the user sees this information as an overlay on top of the real world. Unlike virtual reality where the user it totally immersed in the virtual world and cannot see anything but the virtual environment. To be able to place the overlay in the correct position the AR software can use different types of techniques. Some of these techniques are marker tracking, image recognition and the use of embedded sensors. Augmented reality (AR) creates an environment where computer generated information is superimposed onto the user’s view of a real-world scene.

  • Vision, Recognition and Reconstruction
  • Robot Design, Development and Control
  • Tele-robotics and Tele-operation
  • Industrial Networks and Automation
  • Modelling, Simulation and Architecture
  • Augmented Reality
  • Perception and Awareness
  • Surveillance, Fault detection and Diagnosis
  • Haptics
  • Modelling, Identification and Control
  • Signal and Image Processing

Track 5 : Safety standards for Robots and Systems

Usually, the procedure of the planning and development of a process of an assembly, inspection and measurement equipment using machine vision is split into precise determination of tasks and goals like detection, recognition, grasping, handling, measurement, fault detection, etc. and into machine vision component selection and working conditions determination like camera, computer, lenses and optics, illumination, position determination, etc.

  • Robotics Ethics and Policy
  • Social Robotics and Safety
  • Sensors for Robot Safety
  • Intelligent Autonomous Robots and Safety
  • Wearable Robots and Safety
  • Rehabilitation System, Transfer Machine and Safety
  • Interaction Control of Assistive Robots and Safety
  • Human-in-Loop and Safety
  • Multi-Agent Coordination for Human
  • Human-Robot Interaction and Interfaces
  • Machine Vision for Robot Safety

Track 6 : Applications of Automation

Vehicle control can be defined as the set of tasks involved in navigating, guiding, and manoeuvring a vehicle via control of the electrical, mechanical and other devices provided on the vehicle for these purposes. Vehicle control can in its broadest sense be either entirely manual, entirely automated, or on a point somewhere along the continuum between these two extremes. The application of telematics to Vehicle Control involves the development and deployment of Autonomous and Infrastructure linked systems whose aim is to assist drivers in controlling their vehicle. ‘Automated Highway Systems’ or ‘Automated Vehicle Guidance’ is where vehicle guidance and control inputs are derived from on-board sensors, which can be supplemented by equipment residing outside the vehicle. Vehicle control is affected without intervention by the driver although driver override is still possible.

  • Control and Supervision Systems
  • Intelligent Transportation Technologies and Systems
  • Engineering Applications
  • Industrial Automation and Robotics
  • Vehicle Control Applications

Track 7 : Control Systems

When a traditional feedback control system is closed via a communication channel, which may be shared with other nodes outside the control system, then the control system is called a Networked control system. An NCS can also be defined as a feedback control system wherein the control loops are closed through a real-time network. The defining feature of an NCS is that information (reference input, plant output, control input, etc.) is exchanged using a network among control system components (sensors, controllers, actuators, etc.,). Network controllers allow data to be shared efficiently. It is easy to fuse the global information to take intelligent decisions over a large physical space. It is easy to add more sensors, actuators and controllers with very little cost and without heavy structural changes to the whole system. Most importantly, they connect cyber space to physical space making task execution from a distance easily accessible.

  • Marine and Aerospace Guidance and Control
  • Space Control Systems
  • Linear and Nonlinear Systems Control
  • Fractional Order Systems
  • Chaotic Systems
  • Complex Systems
  • Automatic Control and Technology
  • Networked Control Systems
  • Signal Processing Systems for Control
  • Hybrid Systems and Control

Track 8 : Control Methods

Autonomous systems have the capability to independently (and successfully) perform complex tasks. Consumer and governmental demands for such systems are frequently forcing engineers to push many functions normally performed by humans into machines as a functional architecture for an intelligent autonomous controller with an interface to the process involving sensing (e.g., via conventional sensing technology, vision, touch, smell, etc.), actuation (e.g., via hydraulics, robotics, motors, etc.), and an interface to humans (e.g., a driver, pilot, crew, etc.) and other systems. The “execution level” has low-level numeric signal processing and control algorithms (e.g., PID, optimal, adaptive, or intelligent control; parameter estimators, failure detection and identification (FDI) algorithms). The “coordination level” provides for tuning, scheduling, supervision, and redesign of the execution-level algorithms, crisis management, planning and learning capabilities for the coordination of execution-level tasks, and higher-level symbolic decision making for FDI and control algorithm management. The “management level” provides for the supervision of lower-level functions and for managing the interface to the human(s) and other systems.

  • Adaptive Control
  • Robust Control
  • Optimal Control
  • Process Control
  • Stochastic Systems Control and Remote Supervisory Control
  • Manufacturing Systems Control
  • Co-Operative Control
  • Predictive, Intelligent and Servo Control
  • Cooperative, Coordinated and Decentralized Control
  • Advanced Process Control

Track 9 : Big Data Analysis

Big Data is the fact & figures obtained by any company and managed through new techniques to yield value in the finest way possible. This Big Data Analysis focuses on finding hidden threads, trends, or patterns which may be invisible to the naked eye. However, with the advancement of new ideas in Big Data Analysis the efficiency and speed has increased, which leads to smarter business models, more efficient operations and happier customers. This Big Data Analysis session will benefit specially organisations and industry people to mobilize knowledge on how to utilise their data and use it to earn new opportunities.

  • Data Fusion
  • Tensors
  • Machine Learning
  • Data Mining
  • LHC and Big Data
  • Data Journalism
  • Data Lineage
  • Data Philanthropy
  • Urban Informatics
  • Surveillance Capitalism

Track 10 : Intelligent Automation

Industrial Automation use many control systems managing like computers or robots, and information technologies for handling different processes and machineries in an industry. Intelligent Automation can be used to enhance productivity and efficiency, reduce operational risks, and improve customer experiences. Industrial Automation plays a crucial role in any industry’s next-generation modernization. This Industrial Automation session will helps to evaluate how the widespread integration of Automation, Robotics and Artificial Intelligence is helping to create a difference in human lives.

  • Industrial Artificial Intelligence
  • Cyber-Physical Systems
  • Autonomous Vehicles and Robotics Leveraging AI
  • AI in Renewable Energy Forecasting
  • AI, Industry and Intellectual Property
  • Integrating AI with Human
  • Image Recognition Method
  • AI, Animation & Games

Track 11 : How Robots Changing Our Life

Robots are already at work in our day to day life and the Automation Process have transformed the way we used to live. We are now living in the smart technology era. What we used to see in science fiction is transformed into reality. Starting from home to office, from underwater to space they are now in every sector.  Robots are increasingly coming nearer to us as smart technology allows people to control the functions of their home. As technology becomes more forward-thinking, it's clear that the world is changing and there's a good possibility that robots will be functioning in ordinary people's homes within the next decade or so. The main discussion point of the session will be how Robots grew into an essential partner in our journey and how they are helping us to simplifying our life.

  • Time to Expand Our Definition of Robot
  • Robots And 3D Printing
  • Object Recognition and Motion Planning
  • Will Robots Rule Finance?
  • Social Robot
  • Human-Robot Interaction
  • Mechatronics & Robotics

Track 12 : Components of Robot

Robots are also assimilation of many parts. All Robot consists of some mechanicalelectrical components along with some computer programming. Nowadays as Robots are designed for specific tasks components are also designed likewise which will help to perform better tasks. Robots can be designed in many ways, using all manner of materials, however most Robots share a great deal in common. This session relating to the structure and design of Robot will help a lot to researchers, Industry peoples, students to analyse about the process of creation of Robot and what are the future trend in this area of Automation.

  • Actuator
  • Soft Robotics
  • Elastic Nanotubes
  • Robotic Sensing
  • Computer Vision
  • Sensor Fusion
  • Control Theory
  • Optical Sensors for Robotics Technology
  • Gyroscopes and Accelerometers
  • Power Supply and Energy Storage

Track 13 : Robots: Reaching Space

Beside Earth the only other planet that humans have set foot on is the Moon. However, Robotic explorers have touched the Moon, Mars, Venus, and Jupiter, as well as a few comets and asteroids. In the space society, any unmanned spacecraft can be described as Robotic Spacecraft. For Robonauts, a big advantage is that they need neither food nor drink for survival and can function in very inhospitable conditions. Also Sending a robot to space is much economical than sending a human being.  This section will explore about the robotic journey in space and will highlight how Robonaut become a helping hand in space exploration.

  • History of Unmanned Space Robots
  • ROV and RMS
  • Robots and Manned Space Exploration
  • Aerobot
  • Robonaut
  • Orbiters, Rovers, Landers
  • Aerial Robotics
  • Role of Robots in Space Race
  • Mars and Beyond

Track 14 : Robots: A Helping Hand

Robots gradually becomes an integral part in almost every sector to lift productivity and work efficiently. The major sectors where Robots are now playing an important role are aerospaceagriculture, industry, food processing, automobile, construction, Medical, energy, etc. Robotics has open a plethora of opportunities for both entrepreneurs and students. This session about the various utilities of Robot will highlight the use of robots in various sectors and how they are helping to enhance the quality.

  • Nanorobots
  • Agricultural Robots
  • Military Robots
  • Ant Robotics
  • Mobile Robotics
  • Bio Robotics
  • Distributed Robotics
  • What Human can do, Cobots can too
  • Civilian use of Robotics
  • Disaster Management and Robots

Track 15 : Robots in Industry

People have imagined about Industrial Robots from a long time. The first patent for Industrial Robot was applied in 1954. Since then, Robots have taken away some work in factories but also opened new job opportunities in other areas. The addition of technology to the automation process has open many new The Standard function of Robots in industrial sector includes welding, painting, assembly, pick and place packaging, labeling etc. The session about the Industrial use of Robots has been specially designed for those who are part of various industries and for students who are going to join those industries in future. It will also be helpful to business groups to check out various latest Robotic Technologies evolving in various sectors.

  • Building Artificial Brains
  • Mobile industrial robots
  • Robotic arm
  • Robot’s working envelope
  • Mechatronics as the new language of the automobile
  • Safety standards applied to Robotics
  • Robots in labour surplus country
  • Robots getting job so people losing job
  • The whole market of robots
  • Robots and Mechatronics

Track 16 : IoT- Simplifying our Life

Automation Technology’s ability to create wonderful things in the future stretches from fiction to fact: self-driving cars, Virtual Reality, smart devices. The applications for internet connected devices are widespread. A growing number of Internet of Things(IoT) devices are designed for human use. Starting from agriculture to defence and space, Internet of Things is affecting our life in many ways. This session about Internet of Things will discuss how the IoT has been now an inseparable part of our lifestyle and the concerns and technologies related to it.

  • Smart agriculture
  • Home automation
  • e-Health
  • Industrial automation
  • Internet of Things Devices
  • Efficient transportation system
  • Smart logistics
  • Environment Monitoring
  • IoT-Agent of change for defence sector
  • Digital Technologies Solving Social Issues

Track 17 : IoT and Globalization

The process of globalisation has turn the whole world into a global village where each and every one is interconnected and interdependent. To a large extent the development of earth will not be possible without Internet of Things. The emergence of the Internet of Things (IoT) era brought new hope and promised a better future. The interconnection between the IoT and globalisation will be the focus of the session.

  • Hybrid Cloud
  • Globalization and governance
  • Cyber attack
  • Internet activism
  • Internet censorship
  • Net neutrality
  • Block chain & Bitcoin
  • Global Citizen have no Privacy
  • How IoT Helps To Feed The World

Track 18 : Cyber Security: Threat & Road Ahead

The world is changing, and with it so is the Cyber Threat. At one hand greater connectivity helps to provide new business and social opportunities but simultaneously demands for more responsibility. The next generation warfare will be fought by sitting in front of computer screens. As the risk is higher, demand for qualified professionals is also high. This session about the Cyber Security, Cyber Threat, its challenges and future will be helpful for every participant to discuss about challenges of Cyber Security and what can be the possible solution for a peaceful planet.

  • Cyber Ecosystem
  • Learning from the Past Attacks
  • Ransomware-The Deadly Weapon
  • Cyberwarfare & Cyberterrorism
  • Cyber Attacks - A war crime
  • Mobile & IoT Security
  • Digital Forensic
  • Security Architecture
  • Information Security Culture
  • Ways to Fight Cybercrime

Track 19 : Importance of Modelling and Simulation in The Internet of Things(IoT)

The Internet of Things (IoT) refers to the network interconnection of objects equipped with ubiquitous intelligence, or simply “Smart Objects”. Several efforts have been made in the last decade to bring together standard modeling languages with generic simulation frameworks. Modeling allow description of aspects at a higher level of abstraction independent from the target platform and simulation helps to simulate such description in large-scale scenarios. This Internet of Things related session will help to learn about the nitty gritty of the importance of modelling and simulation in IoT.

  •  IoT-Systems of Systems
  • Internet of Things and Smart-Territories
  • Simulation of the Internet of Things
  • Multi-Level Simulation
  • Cognitive Agent-based Computing
  • Simulation and market
  • Embedded software
  • Data sensing and analytics
  • Ferries based modelling
  • Geographical based modelling

Track 20 : Robots: Saving Our Life

Unlike other sector experts are unanimous in predicting that long-term sustainability of healthcare systems could be met by Automation driven by digital health technologies, such as Artificial Intelligence3D-printing or robotics. Robots can support, assist and extend the service health workers are offering. New and smart technology powered by Artificial Intelligence, Robotics& Internet of Things will be one of the driver that will change the traditional health care system. This session about Robots and Medical System will highlight the role played by these machines in our health care system and issues arising out of it.

  • Artificial Health Professionals
  • Remote Surgery
  • Robotic Surgery
  • Microbot
  • Bio-Inspired Robotics
  • Designing Treatment Practices
  • Elderly Care
  • Medical Research and Robotics
  • Putting the “Careâ€Â Back in Healthcare
  • AI for Disabled Person
  • Sky Chain & Watson in Health Care System

Track 21 : Evolutionary Robotics

Evolutionary Robotics is a computer-simulated technique of creating intelligent and Autonomous Robots. The initial idea of encoding a robot control system into a genome and have artificial evolution dates to the late 80s. The prime goals of Evolutionary Robotics is to acquire automatic methods for creating intelligent autonomous robot controllers. The central advantage of Robot design methods is that they might one day be used to produce controllers or even whole robots that are skilled of functioning in environments that humans do not understand well. Neural Network is the most common type of controller used in Evolutionary Robotics. This Evolutionary Robotics session is designed to understand and discuss about how to create useful controller to use the robot in many constructive ways.

  • Virtual Agents
  • Cognitive Robotics
  • Artificial Metamorphosis
  • Simulated Robotic Agents
  • Universal Darwinism
  • Artificial Neural Networks
  • Evolutionary Computation

Track 22 : Quest for Artificial Intelligence: Dreams and Dreamers

Like all quests, the Quest for Artificial Intelligence (AI) also begins with dreams. Artificial Intelligence (AI) is a domain that has a long history but is still constantly and actively growing and changing. Human-like systems are illustrated in many stories and are pictured in many ancient art. Starting from the time of ancient Greek philosopher Aristotle people visualized of automation. This Quest for Artificial Intelligence: Dreams and Dreamers session is specially planned for celebrating the vision of the dreamers which includes philosophers, Science Historian, writers, scientists, researchers etc.

  • Early mythology and AI
  • Aristotle and Syllogism
  • Symbolic reasoning
  • Alan Turing and his test
  • 1956: A turning point
  • AI Winter and its lessons
  • Brain Inspired AI Project

Track 23 : Knowledge Based Systems

A knowledge Based System is a computer platform which uses Artificial Intelligence to solve complications within a specializes domain that involves human expertise. Knowledge-Based Systems were first developed by artificial intelligence researchers.  These preliminary knowledge-Based Systems were mostly expert systems .The most recent development of knowledge-Based Systems has been to adopt the skills for the development of systems that use the internet. As knowledge-Based Systems became more intricate the techniques used to denote the knowledge base became further sophisticated. This Knowledge Based Systems session will help researchers to understand how to use Knowledge Based System as a diagnostic tool.

  • Inference Engine
  • Semantic Web
  • Bayesian Network
  • Reasoning System
  • Object-oriented Programming
  • Knowledge Base
  • User Interface

Track 24 : Natural Language Processing

Natural Language Processing, or NLP for short, is broadly defined as the automatic manipulation of natural language, like speech and text, by software. The study of Natural Language Processing has been around for more than 50 years and grew out of the field of linguistics with the rise of computers. The steps which are used in Natural Language Processing includes Lexical AnalysisSyntactic AnalysisSemantic AnalysisDiscourse Integration, Pragmatic Analysis, etc. This Natural Language Processing session will help participants to understand how a computer can be utilised to perform useful job using various human languages.

  • Natural language Understanding
  • Natural Language Generation
  • The Georgetown Experiments
  • Major Evaluation and Task
  • Machine Translation
  • Computational Linguistics
  • NLG Application
  • Natural Language Programming
  • Concept Mining

Track 25 : Modern Artificial Intelligence

Modern Artificial intelligence (AI), is the capability of a computer-controlled robot to perform assignments commonly associated with intelligent beings. Integration of various systems are necessary for a promising Artificial Intelligence. In modern era, Artificial Intelligence techniques have undergone a renaissance following parallel advances in computer power, Big amounts of data, and theoretical understanding. Modern Artificial  Intelligence uses tools and data from the fields like computer science, psychologyphilosophyneurosciencecognitive sciencelinguistics, operations research, economics, control theory etc. The Modern Artificial Intelligence session will set a clear picture about various facets of Modern Artificial Intelligence.

  • Fuzzy Logic
  • Genetic Algorithms
  • AI in Shopping and Customer Service
  • AI and Emotions
  • Discovering New Drugs
  • AI: Educating the Future
  • AI based Aviation System
  • Artificial Intelligence in Healthcare
  • Virtual Reality and Image Processing
  • AI and Space

Track 26 : Ethics of Artificial Intelligence

The ability of the Autonomous Systems to make decisions for themselves, with little to no input from humans greatly increases the utility of Artificial Intelligence, Robots and similar IoT devices. However due to this autonomous function Some experts and scholars have reservations about the use of Artificial Intelligence in various jobs. Writers like Isaac Asimov considered the issue in many of his works. It is very important that consumers trust AI systems, or else their recognition in society will be threatened. This Ethics related session of Artificial Intelligence aims to provide an agenda within which researchers and policy planner foresee the current and future ethical issues and to provide insights about concern related to ethical behaviour.

  • Ambient Intelligence Challenges
  • Machine Ethics
  • Artificial Consciousness
  • Robot Ethics and Rights
  • Artificial Moral Agents
  • Philosophy of Artificial Intelligence
  • Computer Power and Human Reason
  • AI: Threat to Human Dignity

Track 27 : Control Theory and Optimization Technique

In open loop control, it is assumed that the dynamical model of the system is well known, that there is little or no environmental noise and that the control signal can be applied with high precision. This approach is generally utilized when there is a target value, to achieve at a particular final time, T. The disadvantage of open-loop control is that the performance of the controller is highly susceptible to any unanticipated disturbances. In feedback control, continuous or discrete time measurements of the system output, y(t), are used to adjust the control signal in real time. At each instant, the observed process, y is compared to a tracking reference, r(t), and used to generate an error signal. Feedback therefore provides the backbone of most modern control applications. In learning control, a measurement of the system, y(t), is also used to design the optimal feedback signal; however, it is not done in real time. Instead, a large number of trial control signals are tested in advance.

  • Dynamic Programming in Continuous Time
  • Kalman Filter and Certainty Equivalence
  • Observability
  • Controllability
  • Continuous-Time Markov Decision Processes
  • Programming Average-Cost
  • Optimal Stopping Problems
  • Dynamic Programming over the Infinite Horizon
  • Markov Decision Problems
  • Dynamic Programming
  • Optimization Problems in Control Engineering
  • Automotive Control Systems and Autonomous Vehicles
  • Process Control and Automatic Control Theory
  • Control System Modeling
  • Control Theory and Application
  • Control Theory and Methodologies

Track 28 : Mechatronics

Mechatronics is a multidisciplinary field of science. Mechatronics includes the combination of mechanics and electronics. As technical systems have become more and more complex the definition has been broadened to include more technical areas like telecommunications engineering, computer engineering, control engineering and systems engineering. Examples of Mechatronics System are robotsaircraft flight control, automated guided vehicles, navigation systems, digitally controlled combustion engines and self-adaptive tools etc.  The sensors in these systems receives signals from the surroundings, react to these signals using appropriate processing to generate acquired output signals. Mechatronics can be referred as Electromechanical systems.

  • Mechatronics Basics
  • Nano/Micro-Systems
  • Sensors and Signal Processing
  • Visual Sensing and Image Processing
  • Actuators and Motion Control
  • Modeling and Control
  • Simulations and Simulation Software
  • Transportation Systems

Track 29 : Intelligent Systems

Deep learning allows the computer to build complex concepts out of simpler concepts. Deep learning system can represent the concept of an image of a person by combining simpler concepts, such as corners and contours, which are in turn defined in terms of edges. The idea of learning the right representation for the data provides one perspective on deep learning. Another perspective on deep learning is that depth allows the computer to learn a multi-step computer program. Each layer of the representation can be thought of as the state of the computer’s memory after executing another set of instructions in parallel. Networks with greater depth can execute more instructions in sequence. Deep learning is a specific kind of machine learning.

  • Ambient Intelligence
  • Artificial Intelligence
  • Brain Modeling and Simulation
  • Computational Intelligence
  • Deep Learning
  • Neural Networks and Neuro-Fuzzy Systems
  • Intelligent Control
  • Intelligent Medical Diagnostics
  • Intelligent Networks
  • Probabilistic Reasoning
  • Swarm Intelligence

Track 30 : Intelligent Control Systems and Optimization

Genetic Algorithms are heuristic search approaches that are applicable to a wide range of optimization problems. This flexibility makes them attractive for many optimization problems in practice. Evolution is the basis of Genetic Algorithms. It follows 3 rules and they are Selection rule, Cross over rule and Mutation RuleGenetic operators change the solutions. Crossover operators combine the genomes of two or more solutions. Mutation adds randomness to solutions and should be scalable, drift-less, and reach each location in solution space. Genetic Algorithms are search based algorithms based on the concepts of natural selection and genetics. Genetic Algorithms are a subset of a much larger branch of computation known as Evolutionary Computation. Genetic algorithms optimize a given function by means of a random search. They are best suited for optimization and tuning problems in the cases where no prior information is available. As an optimization method genetic algorithm are much more effective than a random search. Genetic Algorithms are adaptive heuristic search algorithms that belong to the larger part of evolutionary algorithms. Genetic Algorithms  have demonstrated to be effective procedures for solving multicriterial optimization problems. It is a very popular meta-heuristic technique for solving optimization problems. These algorithms mimic models of natural evolution and can adaptively search large spaces in near-optimal ways. They are commonly used to generate high-quality solutions for optimisation problems and search problems.

  • Genetic Algorithms
  • Fuzzy Control
  • Decision Support Systems
  • Machine Learning in Control Applications
  • Knowledge-Based Systems Applications
  • Hybrid Learning Systems
  • Distributed Control Systems
  • Evolutionary Computation and Control
  • Optimization Algorithms
  • Soft Computing
  • Software Agents for Intelligent Control Systems
  • Neural Networks based Control Systems
  • Planning and Scheduling
  • Intelligent Fault Detection and Diagnosis
  • Engineering Applications

Track 31: Data Analytics

Data analytics is the science of drawing insights from raw information sources. Many of the techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption. Data analytics techniques can reveal trends and metrics that would otherwise be lost in the mass of information. This information can then be used to optimize processes to increase the overall efficiency of a business or system.

  • Descriptive analytics 
  • Predictive analytics 
  • Prescriptive analytics 

Track 32: Data Minning

 Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge discovery in databases" process or KDD. Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. The difference between data analysis and data mining is that data analysis is to summarize the history such as analyzing the effectiveness of a marketing campaign, in contrast, data mining focuses on using specific machine learning and statistical models to predict the future and discover the patterns among data.

Track 33: Data Analytics - The Future of Everything

Conference Image

Technology is evolving & changing genuinely fast. But what's vital to notice that information science is what maximum of the generation is revolving around. Big data was once “the subsequent massive aspect of the future” like some years back. We’re already dwelling the future & big data is everywhere. There might be some industries which are still not in the awe of the capacity of data science & how it is able to help them however maximum other are creating a great use of this technology. With the sector increasingly tuning right into a “virtual workspace”, data science is clearly the future of everything.

  • Data Analytics in education
  • Data Analytics in healthcare & pharmacy
  • Data Analytics in data management
  • Data Analytics in social media
  • Data Mining & Big Data
  • Internet of Things
  • Artificial Intelligence

Track 34: Data Analytics Tools

Gathering, storing, merging & sorting huge amounts of data had been the main challenge for software & hardware centers. Growing a variety of businesses & establishments has solved & evolved tools for saving & storing tables, documents or multimedia information. Database systems are a chief tool in triumphing applications. Those systems have regular hundreds or hundreds of thousands of entries. The goals of analytical equipment are obtaining necessary & beneficial information from gathered records & therefore using them for active control & selection making. The main purpose of this contribution is to offer a few possibilities & tools of data analysis as regards to the availability of very last users.

  • Big Data Security & Privacy
  • E-Commerce & Web Services
  • Medical Informatics
  • Visualization Analytics for Big Data
  • Predictive Analytics In Machine Learning & Data Mining
  • Interface to Database Systems & Software System


Market Scenario:

Mechanical Automation can be characterized as the utilization of PC helped control gadgets to work distinctive modern procedures by supplanting human contribution. Mechanical computerization works different procedures in controlled way. It helps for large scale manufacturing by diminishing time and expanding creation quality.

Modern Automation comprises of various levels, for example, sensor level, mechanization control level computerization, supervision level and venture level. The sensor level can likewise be called as the procedure level that utilizations sensors and actuators for getting estimations of the procedure factors on intermittent or ceaseless premise. Control gadgets as plc PC's/DCS and others. are utilized by the robotization control level. PLC is significantly a machine control while DCS drives the procedure control. The mechanization control level works utilizing diverse inserted processors, PID calculations to control all procedures. Mechanical computerization incorporates different advancements as Supervisory control and information obtaining (SCADA), Human Machine Interface (HMI). Supervisory control and information securing is a controlled framework engineering which utilizes PCs, graphical UIs and system information interchanges for abnormal state forms. Human Machine Interface incorporates the gadgets required to flag and control the condition of modern mechanization gear. The real advantages of mechanical mechanization can be considered as supplanting human inclusion from dangerous regions of work, more noteworthy nature of generation and economy change.

The business players are underscored on expanding the proficiency of assembling process which is the real driver in mechanical robotization showcase. Aside from it, advancements in PC helped frameworks, web of things (IoT), building advances are the variables driving mechanical computerization. Utilization of robots in modern controller instruments has been a market incline. The diminishing human work has prompted a danger in mechanical computerization. Absence of mindfulness and shortage of speculation for some, organizations could be the significant limitations for mechanical robotization.

Worldwide Industrial Automation Market is required to develop at USD 149 Billion by 2022, at 6% of CAGR in the vicinity of 2016 and 2022. Worldwide Home Automation Market was esteemed at $39,607 million of every 2016, and is anticipated to reach at $81,645 million by 2023, developing at a CAGR of 11.2% from 2017 to 2023.   

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Study Objectives of Industrial Automation Market:

1.     To give itemized examination of the market structure alongside figure of the different portions and sub-sections of the Industrial Automation showcase.

2.     To give bits of knowledge about variables influencing the market development. To dissect the Industrial Automation showcase based watchman's five power          examination and so forth.

3.     To give verifiable and gauge income of the market fragments and sub-portions regarding four primary geologies and their nations North America, Europe,               Asia, and Rest of the World (ROW).

4.     To give nation level investigation of the market regarding the present market size and future planned.

5.     To give nation level examination of the market for portion based on sort, innovation and end client.

6.     To give key profiling of key players in the market, extensively investigating their center capabilities, and drawing an aggressive scene for the market.

7.      To track and break down aggressive advancements, for example, joint endeavors, vital organizations together, mergers and acquisitions, new item improvements, and research and advancements in the Industrial Automation.         

Over the Pacific, Singapore is a standout amongst the most exceedingly created mechanical economies on the planet and is a noteworthy shopper of U.S. computerization gear. As a facilitated commerce accomplice, advertise get to is completely open, and deals are normal through what's to come. In Brazil, various headwinds that incorporate duties and a moderating economy will challenge trade development for the time being. At long last Germany, the biggest European market and best positioned by United Nations modern records, is viewed as a standout amongst the most managed yet remunerating goals to work together. Entering the German market is regularly observed as key to entering Europe overall. With mechanization and availability at the center of the Industrie 4.0 activity to enhance fabricating efficiency, Germany is a vital market for U.S. exporters. While these five nations are particularly featured, the U.S. Remote Commercial Service keeps up a nearness in the greater part of the best markets positioned in this report. The best 35 markets positioned in this report are geologically and monetarily different. They represent more than 90% of all U.S. sends out in the business, with a base edge of $40 million in yearly fares to each market in 2015. While the conventional markets of Western Europe figure noticeably, development in Asia and Latin America has been more broad and has been firmly flourishing. For U.S. exporters, the best fare openings are not just in the biggest markets. Numerous different contemplations might be considered, including geographic and social vicinity, simplicity of working together, duties and market get to, specialized boundaries to exchange, and then some. By positioning markets in view of total exchange streams, this report represents these contemplations while offering additionally nitty gritty data in the five nation contextual analyses.

Policymakers ought to welcome the distinctive intensity issues and market qualities that effect exporters in every segment. For more nation particular data on nearby business rehearses and the monetary and political conditions, the U.S. Business Service additionally gives inside and out Country Commercial Guides that can be gotten to on the web.

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Industry Overview and Competitiveness:

Comprehensively, computerization is the demonstration of lessening difficult work contributions to items or procedures. There are numerous purposes behind computerizing forms. One is the need to diminish the measure of direct work and reduction costs. A few undertakings are genuinely "thoughtless" and might be unwanted to try and low-talented laborers. By utilizing mechanization to decrease the quantity of dreary undertakings, organizations can better apportion assets to higher offers, for example, research or business advancement. Different purposes behind robotization incorporate the requirements to enhance item quality, to reliably meet demanding particulars, or to enhance speed of yield. In numerous mechanical settings, certain assignments are likewise inalienably hazardous or unsanitary for human laborers. Computerization of these errands can enhance word related wellbeing and security results while diminishing the quantity of specialist remuneration cases and expenses for claims.

Today, as indicated by an investigation by the McKinsey Global Institute, as much as 45% of exercises people are paid to perform can be computerized. A significant number of the advancements that have supported the push toward computerization have existed for a considerable length of time. As the advances have advanced, in any case, the level of computerization over any number of modern settings has achieved unparalleled levels. Out in the open travel, supervisory control and information securing (SCADA) frameworks are empowered by mechanical mechanization items to guarantee prepares and movement networks stay liquid and decongested. One peer within a noteworthy postal conveyance or coordinations focus uncovers a relatively amazing cluster of many-sided quality that is made reasonable via computerization. Inside the sustenance and refreshment industry, process controls are the way to guaranteeing that diverse clumps of the same soda reliably look, smell and taste the same.

The United States is a best level worldwide provider of modern robotization gear and is home to a hearty household industry. On one side of the range, several little to medium-sized ventures (SMEs) regularly offer items to contend in exceptionally particular hardware and segment markets. A large number of these unadulterated play organizations are family possessed and tend to center around specific items for particular enterprises or applications. These make up the lion's share of robotization hardware organizations.

The best extent of gear deals, in any case, is produced via mechanization divisions of Fortune 500 modern aggregates. U.S. headquartered organizations incorporate GE (NYSE: GE), Johnson Controls (NYSE: JCI), Emerson Electric (NYSE: EMR), Rockwell Automation (NYSE: ROK), and others, for example, Danaher Corporation (NYSE: DHR) and Honeywell International (NYSE: HON). These organizations are regularly organized to give items and administrations that are custom fitted to the remarkable settings of end-utilize enterprises. With representative include extending the several thousands, these organizations frequently appreciate strong nearness in significant markets all through the globe.

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                                                                                   Figure 1:Top Impacting Factors Of Home Automation Market

The United States is likewise home to an extensive number of computerization frameworks integrators. These organizations are specialist organizations, with designing and creation ability, that introduce or incorporate robotization items into existing apparatus, production line lines, stockrooms and that's only the tip of the iceberg. They normally are ensured by unique hardware producers (OEMs) to work specifically with end-clients, and they have practical experience in specific businesses or applications. Integrators have a tendency to be SMEs that give inside and out ability of neighborhood business needs and conditions, a plan of action that has a tendency to be locally arranged and less fare driven.

Global Competitive Landscape:

Depending on worldwide exchange information gathered by the United Nations Statistics Division, ITA ventures that opposition will keep on coming from providers in Asia, Western Europe and Mexico. As indicated by U.N. information, in 2014, the United States was the third biggest exporter of robotization hardware on the planet, behind China and Germany. Since 2007, China has been the biggest exporter of gear. It has additionally been the quickest developing as far as worldwide fare piece of the overall industry, expanding from 11.4% of every 2004 to 20.2% of every 2014. The United States, then again, has seen the biggest decrease over a similar period, tumbling from 15.1% to 9.8%. Japan was the fourth biggest exporter in 2014, however it likewise observed a decrease in piece of the overall industry.

1.      Asia:

In Asia, the major contending markets are China, Japan and South Korea. China has been the biggest maker of computerization hardware for about 10 years. A lot of this has been because of seaward gathering for major multinational firms by contract producing organizations. For instance, Taiwan-headquartered Foxconn customarily gathers ICT items for send out into western markets. Development, be that as it may, is likewise being pushed by an expansion in local utilization and a drive to enhance fabricating profitability in-nation. A few sources assess that yield inside China from Chinese-possessed firms will outperform that of outside claimed firms by 2020. In Japan, accentuation on item quality and lean assembling has made the nation a main engineer and provider of mechanization hardware. Japan is outstanding for reforming PC numerical control (CNC) innovation, turning into a worldwide powerhouse in assembling controls for the machine apparatus industry. Japan is additionally outstanding for modern mechanical autonomy. While China has as of late overshadowed Japan as the main worldwide maker, as indicated by the IFR, Japan is evaluated to have the biggest operational supply of modern robots on the planet. A portion of the nation's major mechanical combinations, for example, OMRON, Fanuc, Yaskawa and Mitsubishi, are differentiated crosswise over apply autonomy and other computerization items.Korea has developed as one of the unmistakable "Asian Tigers" and is one of the best 10 makers of robotization gear. The IFR takes note of that Korea had the most astounding robot thickness on the planet, a point examiners ascribe to a great extent to government activities and activities.

2.      Europe:

Western European organizations keep on competing firmly with U.S. organizations in worldwide markets. In 2014, the biggest European exporters were Germany, Italy, France and the United Kingdom.In Europe, Germany is viewed as the main voice in keen assembling and efficiency. Germany is Europe's biggest exporter of robotization hardware by a long shot and outperforms the United States as the second biggest on the planet. Germany is home to the Industrie 4.0 activity, which plans to "use the colossal capability of digitization… to reinforce Germany's assembling base." The world's biggest mechanization expo, the Hannover Messe, draws about 225,000 members every year. Germany is home to a great many SMEs and various driving multinational companies, including Siemens AG and Bosch Rexroth.

Crosswise over Europe, nations, for example, Italy, France and Switzerland, are home to various noticeable robotization organizations. Organizations like Schneider Electric of France and ABB of Switzerland are driving suppliers of mechanical control frameworks. At the season of composing this Top Markets Report, ABB is additionally one of the biggest mechanical apply autonomy organizations to produce in the United States. Italy's Comau Group, a backup of car goliath Fiat-Chrysler, has likewise delivered propelled robotization frameworks for quite a long time.

3.      Mexico:

Mexico, similar to China, has customarily been a vast market for gathering and assembling by major multinational firms. A lot of this pattern has been driven by the North American Free Trade Agreement (NAFTA), Mexico's most seasoned and most weighty organized commerce understanding. Because of lower work expenses and close geographic vicinity, numerous U.S. multinational firms have gained fabricating tasks in Mexico with the end goal of possible resale in the U.S. showcase. Mexico, be that as it may, has additionally gone into more than 40 facilitated commerce concurrences with Japan, the European Union and others, giving further motivator to bigger multinational organizations to extend development into the Americas.

Key Players:

The prominent players in the Industrial Automation Market are –

Siemens AG (Germany), ABB Ltd. (Switzerland), Emerson Electric Company (U.S.), General Electric Company (U.S.), Schneider Electric SE (France), Honeywell International, Inc. (U.S.), Mitsubishi Electric Corporation (Japan), Yokogawa Electric (Japan), Ametek, Inc. (U.S.), Rockwell Automation, Inc. (U.S.) and Fanuc (Japan)

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Industrial Automation by Type:

1.      Fixed Automation

2.      Programmable Automation

Industrial Automation by Technology:

1.      Supervisory control and data acquisition(SCADA)

2.      Programmable Automation Controller(PAC)

3.      Programmable Logic Controller(PLC)

4.      Distributed Control System(DCS)

5.      Human Machine Interface(HMI)

Industrial Automation by end user industries:

1.      Machine manufacturing

2.      Oil & gas

3.      Aerospace & defence

4.      Electrical & electronics

5.      Automotive & transportation

6.      Chemical

7.      Pharmaceuticals

8.      Mining & metals

9.      Food & beverages

10.    Electric power generation

Regional Analysis:

The local investigation of Industrial robotization advertise is being contemplated for district, for example, Asia Pacific, North America, Europe and Rest of the World. The on-going worldwide pattern towards more prominent modern computerization is being reflected in an expansion in the quantity of mechanical robots into the US.

Presently, there has been news in Japan that industrial facility mechanization has cleared a path for foundation of robot preparing focuses. There has been an upward pattern in modern mechanization in the Asia pacific countries including Vietnam. It is demonstrated that utilizing mechanical robots helps sparing time and expanding item quality and creation limit prompting enhance the intensity. This components are relied upon to drive the mechanical computerization advertise in Asia-Pacific Region.

Graphical analysis of different automation sectors:

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                                                                                     Figure 2: Global Test Automation Market Revenue(2016-2022)


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                                                                                             Figure 3: PC based Automation Market size (2017-2026)

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Figure 4: Automation and AI Business Operations Spend(2016-2021)

Opportunities :

The worldwide market for mechanization is developing. Going into 2016, the interest for coordinated and adaptable items is at an untouched high so as to meet the developing desires of buyers. This isn't just the case in exceptionally industrialized economies yet additionally in creating countries the same number of organizations basically sidestep old advances and jump frog straight into the patterns of today. As conventional IT standards keep on merging with assembling, organizations that can outfit ideas of "advanced manufacturing plant" will be at a particular upper hand in their individual ventures.

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