Euro Robotics Conferences | Autonomous vehicles Conferences | Artificial Intelligence conferences | Robotics Expo | Paris | France | 2019

Theme: A Review on Innovations and Advancements in Technology

Euro Robotics 2019

Euro Robotics 2019

Hear, Explore and learn the latest research. Present before the distinguished global audience. Collaborate, build partnerships and experience Paris, France. Join the global academic community.

ConferenceSeries llc Ltd invites all the participants across the globe to attend the “European Summit on Robots, Artificial Intelligence and Autonomous Vehicles’’ during 7^th & 8^th October 2019 at Paris, France. Euro Robotics 2019 includes prompt keynote presentations, Oral talks, Poster presentations and Exhibitions.

Distinguished Colleagues, I am honoured and delighted to invite you on behalf of the Organizing Committee to participate in the “European Summit on Robots, Artificial Intelligence and Autonomous Vehicles’’ during 7th & 8th October in Paris, France. Robots, Softbots and autonomous driving vehicles featuring real artificial intelligence have a wide range of applications and are of great importance influencing our commute, transportations, business processes and other aspects of lives. Self-driving cars face several unsolved challenges such as safety, production scale, as well as user acceptance. The research community is, however, working very passionately to overcome those issues.

The guiding idea of the European Summit on Robots, Artificial Intelligence and Autonomous Vehicles is an encouraging cooperation and information exchange on different topics of the specialized theme “A Review on Innovations and Advancements in Technology”, primarily between scientists and experts, but also with potential users of all kinds of global mechatronics and artificial intelligence data.

The Congress would also be an exciting opportunity, especially for students, doctoral and postdoctoral fellows, to present their research studies and get acquainted with the latest achievements and comprehensions in different fields of robotics design, self-driving cars technology and artificial intelligence. Interesting and encouraging lectures will be presented by world-class academics and experts that cover a range of disciplines related to robotics: Robotics and Autonomous driving vehicles, Artificial Intelligence, Humanoid Robots, Machine Learning, Neural Networks, and other Intelligent Autonomous Systems.

On behalf of the Organizing Committee and on my own behalf I wish everyone successful and prosperous participation at the European Summit on Robots, Artificial Intelligence and Autonomous Vehicles’’ during 7th & 8th October 2019 at Paris, France, and a pleasant stay in Paris, France.

Dr. Emdad Khan

CEO, InternetSpeech, Inc

Hear, Explore and learn the latest research. Present before the distinguished global audience. Collaborate, build partnerships and experience Paris, France. Join the global academic community.

ConferenceSeries llc Ltd invites all the participants across the globe to attend the “European Summit on Robots, Artificial Intelligence and Autonomous Vehicles’’ during 7^th & 8^th October 2019 at Paris, France. Euro Robotics 2019 includes prompt keynote presentations, Oral talks, Poster presentations and Exhibitions.

Euro Robotics 2019 aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Robots, Autonomous vehicles and computer technologies. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Robots and Autonomous vehicles. This scientific gathering guarantees that offering the thoughts and ideas will enable and secure you the theme “A Review on Innovations and Advancements in Technology”.

Importance and Scope:

Due to incredible technology development, the industries are trying to reduce man power where they trying to increase technologies and functions in various sectors. Now robotics automation is used in each and every company where machines are involved and some or other process is involved. Many fields like robotics, mechatronics, control systems, electronics, wireless, laser technology, automotive motors are depended only on this Artificial Intelligence and Automation functions. The conference organizers aim is to gather the researcher’s academicians and scientists from the field of Industrial Robotics community and to create an approach towards global exchange of information on technological advances, new scientific innovations, and the effectiveness of various regulatory programs towards industrial robotics.

Why to attend?

With members from around the world focused on learning about robotics and deep learning technologies, this is your single best opportunity to reach the largest assemblage of participants from the Robotics and Autonomous vehicles community. Conduct demonstrations, distribute information, acquire knowledge about current and trending robotic and deep learning technologies, make a splash with a new research, and receive name recognition at this 2-day event. World-renowned speakers, the most recent techniques, tactics, and the newest updates in Industrial Robotics fields by using computer advanced applications are hallmarks of this conference.

About City

Paris, the capital of France, is historic monuments and also considered as political and economic landmark with a population of about 2.6 million lies in the northern part of France considered one of the foremost lovely urban populated area within the world that Most of it had been refurbished by Haussmann within the nineteenth century later divided twenty districts that are numbered one to twenty.

The city of lights with its nightlife is rich with the exquisite cabarets such as the Moulin Rouge, Lido and the Crazy Horse. Gastronomic restaurants with the finest cuisine from France are numerous and at all best in class. One of the greatest art museums in the world, Located in the heart of the French capital. Also includes Eiffel Tower, the monument that is constructed by Gustave Eiffel in 1889 that is taken into account to be the foremost well-known.

The Famous boulevards and city centre buildings were transformed by Haussmann and Charles Louis Napoléon Bonaparte. The wide streets, places and squares were built and the buildings completely renovated. The atmosphere was totally enchanted Champs-Élysées, whilst preserving historical buildings such as Notre Dame. This also influenced other French cities to change.

Target Audience:

Robotics Lab Directors/Associates

Head of the Departments from the field of Artificial intelligence, Robotics, Mechatronics, Control systems

Computer application researchers and academicians

Robotics doctorates

Control systems and Mechatronics expertise

Autonomous vehicles company Directors/Associates

Professors and students from academic in the study of industrial robotics and deep Learning field.

Artificial Intelligence Lab Directors/Associates

Control systems and Mechatronics expertise

Conference Highlights

Types of Robots and its applications
Human-Robot Interaction
Industrial Robot Automation
Medical Robotics
Role of robotics in Prosthetics and orthotics
Aerial Robotics and UAV
Autonomous vehicles
Multi-modal sensing (Radar, Lidar, Imager, etc)
Deep Learning
Computer vision, machine vision, analytics
Mapping and localization, Map for autonomous vehicles
Intelligent Agents and Multi-agent Systems
Intelligent Transportation systems
Artificial Intelligence
Advanced computer applications
Big Data analysis and Data mining
Technology Trends
Augmented Reality and Virtual Reality
Cyber Security
Internet of Things

Special Issues:

All accepted abstracts will be published in all respective supporting International Journals.

Abstracts will be provided with Digital Object Identifier by Cross Ref.

See more at: http://smartrobotics.conferenceseries.com/

Conference Sessions/ Tracks (not limited to...)

Track 1

Types of Robots and its applications

Robots can be used in any situation and for any purpose, but today many are used in dangerous environments, manufacturing processes, or where humans cannot survive. Robots can take on any form but some are made to resemble humans in appearance. This is said to help in the acceptance of a robot in certain replicative behaviours usually performed by people. Such robots attempt to replicate walking, lifting, speech, cognition, and basically anything a human can do. Many of today's robots are inspired by nature, contributing to the field of bio-inspired robotics. After various recent achievements in medical robotic research, people have begun to recognise the distinctive advantages of using robots for medical purposes. The main reasons that have drawn much attention to robotic systems results from their capability in carrying out a variety of surgical and other medical tasks with high accuracy and repeatability, and their ability to provide surgeons with enhanced visual feedback.

Track 2

Human-Robot Interaction

Human–robot interaction is the study of interactions between humans and robots. It is often referred as HRI by researchers. Human–robot interaction is a multidisciplinary field with contributions from human–computer interaction, artificial intelligence, robotics, natural language understanding, design, and social sciences. Human has been a topic of both science fiction and academic speculation even before any robots existed. Because HRI depends on knowledge of (sometimes natural) human communication, many aspects of HRI are continuations of human communications topics that are much older than robotics.

Track 3

Industrial Robot Automation

Sophisticated technology, for a majority of manufacturing activities in fabrication, forming, machining and assembly facilities, will be a significant contributor to productivity improvement with substantial gains in the quality of products in the face of tough challenge and competition Industrial Robots have been in use for about 50 years. The Present-Day Robots at Work: Industrial Robots have come to play a widespread and crucial role in many industrial operations today. These robots are almost always of the Jacquard type—with few human features— rather than the Jacquet-Droz, doll-like style. The work that robots do can be classified into three major categories: in the assembly and finishing of products; in the movement of materials and objects; and in the performance of work in environmentally difficult or hazardous situations.

Track 4

Medical Robotics

Robotic surgery or robot-assisted surgery, allows doctors to perform many types of complex procedures with more precision, flexibility and control than is possible with conventional techniques. Robotic surgery is usually associated with minimally invasive surgery procedures performed through tiny incisions. It is also sometimes used in certain traditional open surgical procedures. Robots are currently used not just for prostate surgery, but for hysterectomies, the removal of fibroids, joint replacements, open-heart surgery and kidney surgeries. They can be used along with MRIs to provide organ biopsies. Since the physician can see images of the patient and control the robot through a computer, he/she does not need to be in the room, or even at the same location as the patient. This means that hospitals must evaluate the cost of the machine vs. the cost of traditional care. If robotic surgery cuts down on the trauma and healing time, there is money saved in terms of the number of days the patient stays in the hospital. There is also a reduction in the amount of personnel needed in the operating room during surgery.

Track 5

Role of robotics in Prosthetics and orthotics

The rehabilitation community is at the threshold of a new age in which orthotic and prosthetic devices will no longer be separate, lifeless mechanisms, but intimate extensions of the human body—structurally, neurologically and dynamically. Prosthetics and orthotics devices employ a force controllable actuator and a biomimetic control scheme that automatically modulates ankle impedance and motive torque to satisfy patient-specific gait requirements. Although the device has some clinical benefits, problems still remain. The force-controllable actuator comprises an electric motor and a mechanical transmission, resulting in a heavy, bulky, and noisy mechanism. As a resolution of this difficulty, we argue that electroactive polymer-based artificial muscle technologies may offer considerable advantages to the physically challenged, allowing for joint impedance and motive force controllability, noise-free operation, and anthropomorphic device morphologies.

Track 6

Aerial Robotics and UAV

Flying opens new opportunities to robotically perform services and tasks like search and rescue, observation, mapping or even inspection and maintenance. As such, substantial interest in aerial robots has grown in recent years. Key areas to be addressed include, but are not limited to, innovative Unmanned Aerial Vehicles design, autonomous missions, guidance, navigation and control, safety and certification, risk assessment, multi-vehicle coordination, UAS traffic management (UTM).

Track 7

Autonomous Vehicles

An autonomous car is a vehicle that can guide itself without human conduction. This kind of vehicle has become a concrete reality and may pave the way for future systems where computers take over the art of driving. An autonomous car is also known as a driverless car, robot car, self-driving car or autonomous vehicle.

Track 8

Multi-modal sensing (Radar, Lidar, Imager, etc)

For autonomous agents it is essential to have a clear view and understanding of their surroundings to be able to navigate safely. To generate this view many different types of sensors including vision, lidar, radar, ultrasound, hyper spectral, infrared and other sensors can be used. The fusion can be based on a time series of data from the same type or from several different sensing modalities, the latter called multi-modal sensor fusion. Multi-modal sensor fusion offers advantages in terms of being able to sense various complementary aspects of an object or scene with the different modalities, i.e. increasing information gain. Due to the uncertain nature of sensor measurements, the fusion of the (time series) data is non-trivial. And as soon as the sensors are mounted on a moving agent the issue of synchronization, drift, blur and others makes the fusion yet more difficult. Fusing sensors with different modalities is even more challenging because the sensors perceive different aspects of the environment. One sensor might sense an object while the other sensor might not see it at all because of the material of the object, for instance seeing through glass with a visual camera and getting a return with an ultrasound sensor. Oftentimes the sizes and the distances to the objects are also reported differently. These aspects make multi-modal sensor fusion non-trivial.

Track 9

Deep Learning

Deep learning is the science of training large artificial neural networks. Deep neural networks (DNNs) can have hundreds of millions of parameters allowing them to model complex functions such as nonlinear dynamics. They form compact representations of state from raw, high-dimensional, multimodal sensor data commonly found in robotic systems and unlike many machine learning methods, they do not require a human expert to hand-engineer feature vectors from sensor data at design time. DNNs can, however, present particular challenges in physical robotic systems, where generating training data is generally expensive, and sub-optimal performance in training poses a danger in some applications. Yet, despite such challenges, robotcists are finding creative alternatives, such as leveraging training data via digital manipulation, automating training, and employing multiple DNNs to improve performance and reduce training time.

Track 10

Computer Vision, Machine Vision and Analytics

As a scientific discipline, computer vision is concerned with the theory and technology for building artificial systems that obtain information from images or multi-dimensional data. A significant part of artificial intelligence deals with planning or deliberation for system which can perform mechanical actions such as moving a robot through some environment. This type of processing typically needs input data provided by a computer vision system, acting as a vision sensor and providing high-level information about the environment and the robot. Other parts which sometimes are described as belonging to artificial intelligence and which are used in relation to computer vision is pattern recognition and learning techniques. Computer vision is concerned with the automatic extraction, analysis and understanding of useful information from a single image or a sequence of images. It involves the development of a theoretical and algorithmic basis to achieve automatic visual understanding.

Track 11

Intelligent Agents and Multi-agent Systems

In artificial intelligence, an intelligent agent (IA) is an autonomous entity which observes through sensors and acts upon an environment using actuators (i.e. it is an agent) and directs its activity towards achieving goals. Intelligent agents may also learn or use knowledge to achieve their goals. They may be very simple or very complex: a reflex machine such as a thermostat is considered an example of an intelligent agent. Intelligent agents are often described schematically as an abstract functional system similar to a computer program. For this reason, intelligent agents are sometimes called abstract intelligent agents to distinguish them from their real world implementations as computer systems, biological systems, or organizations. Some definitions of intelligent agents emphasize their autonomy, and so prefer the term autonomous intelligent agents.

Track 12

Mapping and Localization, Map for Autonomous Vehicles

Vehicle self-localization is an important and challenging issue in current driving assistance and autonomous driving research activities. Mainly two kinds of methods for vehicle self-localization: active sensor based and passive sensor based. Active sensor based localization was firstly proposed for robot localization, and was introduced into autonomous driving recently. The Simultaneous Localization and Mapping (SLAM) techniques are the representative in active sensor based localization. The passive sensor based localization technologies are categorized and explained based on the type of sensors, Global Navigation Satellite System (GNSS), inertial sensors and cameras. Finally, our challenges on self-localization in urban canyon by the system integration of passive sensors are introduced. GNSS error has been improved for the purpose of the self-localization in urban canyon. The performance of the proposed method would suggest possible solution autonomous vehicles which makes use of passive sensors more.

Track 13

Intelligent Transportation Systems

An intelligent transportation system (ITS) is an advanced application which, without embodying intelligence as such, aims to provide innovative services relating to different modes of transport and traffic management and enable various users to be better informed and make safer, more coordinated, and 'smarter' use of transport networks. An intelligent Transportation system is an emerging transportation system which is comprised of an advanced information and telecommunications network for users, roads and vehicles. An intelligent Transportation system is the integrated application of advanced Technologies using electronics, computers, communications, and advanced sensors. These applications provide travellers with important information while improving the safety and efficiency of the transportation system.

Track 14

Artificial Intelligence

Artificial intelligence is a behaviour based-system concept in robot. Artificial Intelligence brings intelligent behaviour to the robot to be able to provide services to humans in unpredictable and changing environments, such as homes, hospitals, the work place, and all around us. Artificial Intelligence is a way of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think. Artificial intelligence is accomplished by studying how human brain thinks and how humans learn, decide, and work while trying to solve a problem, and then using the outcomes of this study as a basis of developing intelligent software and systems. In the real world, the knowledge has some unwelcomed properties.

Track 15

Advanced computer applications

The abundance of increasingly affordable computing power lends itself to new and demanding applications. In the environmental field, one of the most demanding problem areas is that of environmental systems analysis, subsuming the areas of policy design, planning and management. These areas and their problems are characterized by their multi- and inter-disciplinary nature, as well as the often dominating importance of political and judgemental elements, as opposed to purely technical, scientific problems. Thus, since the classical, formal approaches to technical problem solving are not strictly applicable, and the people involved are not necessarily technically trained experts but will include elected representatives, interest groups, and the general public, new methods of problem solving, or applied systems analysis, and new methods of communicating scientific and technical information have to be developed.

Track 16

Big Data analysis and Data mining

Big data is a term for a large data set. Big data sets are those that outgrow the simple kind of database and data handling architectures that were used in earlier times, when big data was more expensive and less feasible. For example, sets of data that are too large to be easily handled in a Microsoft Excel spread sheet could be referred to as big data sets. Data mining refers to the activity of going through big data sets to look for relevant or pertinent information. This type of activity is really a good example of the old axiom "looking for a needle in a haystack." The idea is that businesses collect massive sets of data that may be homogeneous or automatically collected. Decision-makers need access to smaller, more specific pieces of data from those large sets. They use data mining to uncover the pieces of information that will inform leadership and help chart the course for a business.

Track 17

Technology Trends

Technology is embedded in everything we do, improving the ways we live, work, and experience the world. But there’s a larger transformation at play–a shift beyond digital into an era where tech is built into every single interaction. Disruption courtesy of emerging technologies is nothing new, in fact, we predicted it. But this latest transformation is unique. For the first time, the change is a two-way street. People aren’t just using products and services, but feeding information and access back to them. To deliver integrated innovation, companies need a profound level of insight into people’s lives. For intelligent enterprise, this level of connection—and this degree of trust—require a new type of relationship. It’s not just business. It’s personal. And it’s how leaders will redefine their company based on the company they keep.

Track 18

Augmented Reality and Virtual Reality

Augmented reality is defined as "an enhanced version of reality created by the use of technology to add digital information on an image of something”. AR is used in apps for smartphones and tablets. AR apps use your phone's camera to show you a view of the real world in front of you, then put a layer of information, including text and/or images, on top of that view.

Virtual Reality is defined as "the use of computer technology to create a simulated environment”. When you view VR, you are viewing a completely different reality than the one in front of you. Virtual reality may be artificial, such as an animated scene, or an actual place that has been photographed and included in a virtual reality app.With virtual reality, you can move around and look in every direction -- up, down, sideways and behind you, as if you were physically there. You can view virtual reality through a special VR viewer, such as the Oculus Rift. Other virtual reality viewers use your phone and VR apps, such as Google Cardboard or Daydream View.

Track 19

Cyber Security

Cyber security refers to the body of technologies, processes, and practices designed to protect networks, devices, programs, and data from attack, damage, or unauthorized access. Cyber security may also be referred to as information technology security. Cyber security is important because government, military, corporate, financial, and medical organizations collect process and store unprecedented amounts of data on computers and other devices. A significant portion of that data can be sensitive information, whether that is intellectual property, financial data, personal information, or other types of data for which unauthorized access or exposure could have negative consequences. An organization transmit sensitive data across networks and to other devices in the course of doing businesses and cyber security describes the discipline dedicated to protecting that information and the systems used to process or store it.

Track 20:

Internet of Things

The Internet of things (IoT) is the network of physical devices, vehicles, home appliances and other terms embedded with electronics, software, sensors, actuators,and network connectivity which enable these objects to connect and exchange data. Each thing is uniquely identifiable through its embedded computing system but is able to inter-operate within the existing Internet infrastructure The Internet of things allows objects to be sensed or controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical world into computer-based systems, and resulting in improved efficiency, accuracy and economic benefit in addition to reduced human intervention. When Internet of things is augmented with sensors and actuators, the technology becomes an instance of the more general class of cyber-physical systems, which also encompasses technologies such as smart grids, virtual power plants, smart homes, intelligent transportation and smart cities.

Robots, Artificial Intelligence and Autonomous Vehicles are the platforms to gain and share the knowledge in the new technological developments in the fields of Mechatronics Engineering, Automation Engineering, Mechanical Engineering and Electronic Engineering. This conference brings together Professors, Researchers, Scientists, Engineers, Technologist and Practitioners in all the areas of Robots, Artificial Intelligence and Autonomous Vehicles and provides an international forum for the spreading of approved research results, new ideas and practical developments. We are honoured to invite you all to attend and register for the “International Conference on “Robots, Artificial Intelligence and Autonomous Vehicles ", during 7th & 8th October 2019 at Paris, France.

The organizing committee is gearing up for an exciting and informative conference program including plenary lectures, symposia, workshops on a variety of topics, poster presentations and various programs for participants from all over the world. We invite you to join us at the prestigious conference Euro Robotics 2019, where you will be sure to have a meaningful experience with scholars from around the world.

Robots:

The influence of global trends like electric mobility and the rising demand for consumer goods in emerging nations has made a lasting impact on technological developments by changing requirements for machines and systems, thereby necessitating new design and manufacturing approaches. One promising approach to which engineers and their automation partners are increasingly turning is mechatronics, which has been aptly described as a synergistic collaboration between mechanical engineering, electrical engineering, and information technology in the design and production of industrial products and the design of processes. Mechatronics can help ensure design and project success on a number of levels including improved product performance, space savings and cost savings. Mechatronic robotics and handling systems are critical components for factory automation, enabling motion sequences that would otherwise require extensive manual labour, such as automatic equipment assembly, loading and unloading, picking and palletizing. In modern automotive factories, up to 95% of body-in-white processes where a car takes shape are automated, saving labour and materials costs. In a typical welding application, for example, a robot might place 30 welding spots every 60 seconds, achieving short cycle times and an extremely high level of repeat accuracy. The global Agricultural Robots and Mechatronics market has been estimated to reach USD 5.54 billion by 2020, at a CAGR of 11.3% during the forecast period from 2015-2020.

Robotics Technology Market is expected to reach $82.7 billion by 2020, registering a CAGR of 10.11% during 2014 - 2020. Robotics technology is a combination of machine, tools and computer applications used for various activities including designing, manufacturing and other applications of robots. Use of robotics technology allows consumers to automate processes, increase productivity, enhance quality and reduce human errors. Robotics technology is used in a wide range of industries including healthcare, defence, aerospace, automotive and infrastructure. Robots are used for numerous activities encompassing assembling products, product inspection, space missions, cleaning and household chores. A dynamic rise in the number of smartphones and tablets supplements the process of robot development and contributes to the growth of the global market. With the growth of robotics technology, there would be a significant increase in the number of jobs available for the human workforce.

Autonomous vehicles:

The research study has made use of several analytical tools in order to determine the growth prospects and opportunities for the global automation market in the next few years. The research report on the global market for automation further presents an in-depth study of automation technologies. It further offers data on the major market dynamics that are driving the market’s growth. The research report also studies the current technology trends for automation and their implications. A detailed competitive scenario, along with regional and global analyses, has also been included in the scope of the research report. It also comprises recommendations and inputs given by industry experts to help the major players and decision makers while formulating effective business policies. According to Markets and Markets’ forecast, the overall machine vision market was valued at USD 8.12 Billion in 2015 and is expected to reach USD 14.43 Billion by 2022, growing at a CAGR of 8.15% between 2016 and 2022. The growth of this market is driven by the increasing need for quality inspection and automation across industry verticals, the surge in demand for vision-guided robotic systems in automotive, pharmaceutical, food and packaging, and industrial sectors, and growing demand for application-specific machine vision.

Conference Highlights

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Conference Date	October 7-8, 2019
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Special Issues

All accepted abstracts will be published in respective Our International Journals.

Abstracts will be provided with Digital Object Identifier by

European Summit on Robots, Artificial Intelligence and Autonomous Vehicles October 7-8, 2019 Paris, France

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Euro Robotics 2019

Conference Highlights

To Collaborate Scientific Professionals around the World

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Special Issues