Smart Robotics Conferences | Deep Learning Conferences | Robotics Expo | Singapore | 2018

Theme: A Review on Ethical and Social Implications of Robots

Smart Robotics congress 2018

Scientific Program

Renowned Speakers

Adrian Fazekas
RWTH Aachen University, Germany
Germany

Juan Pedro Bandera Rubio
Asst. Prof., University of Malaga, Spain
Spain

Nachshon (Sean) Goltz
University of Waikato, Newzealand
Newzealand

Bojan JerbiÄ‡
University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Croatia
Croatia

Li-Hong Juang
Fujian Provincial Academic Engineering Research Centre in Industrial Intellectual Techniques and Systems, Engineering College, HuaQiao University
China

Zhou Xing
Director of Artificial Intelligence for Autonomous Driving Borgward, BAIC Group
USA

Rohan Salgarkar
Vice President,Markets and Markets,India
India

Mr. Salvador Reyna Rico
Founder of the Technological Innovation Club (CIT)
Mexico

Kadircan H. Keskinbora
Bahcesehir U. School of Medicine, Istanbul,Turkey
Turkey

Hafizul Imran
Founder/CEO Bangladesh Robotics Foundation, Bangladesh.
Bangladesh

Boian Mitov
CEO, Mitov Software,USA
USA

Indrazno Siradjuddin
State Polytechnic of Malang, Indonesia
Indonesia

Prasant Gade
Founder,Inali Foundation, India
India

Md. Sadique Shaikh
Institute of Management & Science (IMS), M.S, India
India

Haitao Guo
Zhengzhou Institute of Surveying and Mapping, Zhengzhou 450001, China
China

Baoming Zhang
Zhengzhou Institute of Surveying and Mapping
China

Smart Robotics congress 2018

Borgward Automotive Group,

BAIC Group

Distinguished Colleagues, I am honored and delighted to invite you in the name of the Organizing Committee to participate in the 6th World Convention on Robots, Autonomous Vehicles and Deep Learning, which will be held in in Singapore, on September 10-11, 2018. Robots and autonomous driving vehicles featuring real artificial intelligence have a wide range of applications and are of great importance influencing our commute, transportations, 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 World Convention on Robots, Autonomous Vehicles and Deep Learning is an encouraging cooperation and information exchange on different topics of the specialized theme “A Review on Ethical and Social Implications of Robots”, 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, Neural Networks, and other Intelligent Autonomous Systems.

On behalf of the Organizing Committee and in my own behalf I wish everyone a successful and prosperous participation at the 6th World Convention on Robots, Autonomous Vehicles and Deep Learning, 2018, and a pleasant stay in Singapore.

Dr. Zhou Xing

Directory of Artificial Intelligence for Autonomous Driving

Borgward Automotive Group

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

ConferenceSeries llc Ltd invites all the participants across the globe to attend the “6th world Convention on Robots,Autonomous Vehicles and Deep Learning’’ during 10^th & 11^th September, 2018 at Singapore. Robots, Autonomous Vehicles and Deep Learning 2018 includes prompt keynote presentations, Oral talks, Poster presentations and Exhibitions.

Smart Robotic Congress 2018 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 and Deep Learning. 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 Deep Learning. This scientific gathering guarantees that offering the thoughts and ideas will enable and secure you the theme “A Review on Ethical and Social Implications of Robots”. Deep Learning is the latest trending technology in many fields especially in industries like manufacturing, control systems, Data mining, etc. The current era fully rolled out with many new Deep Learning technologies. In such case more Software companies and industries were newly introduced within market which obviously shows the market growth of Deep Learning. While analysing the revenue growth of Deep Learning, it highly developed from $180 billion USD to $270 billion USD since from past few years and the annual growth percentage increases from 20-55 percentages, which clearly shows that Software technology contains huge scope in coming years.

Importance and Scope:

Due to incredible technology development, the industries are trying to reduce man power where they trying to increase Deep Learning and function in various sectors. Now robotics 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 Artificial Intelligence 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 are hallmarks of this conference.

Target Audience:

Deep Learning and Robotics Lab Directors/Associates

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

Deep Learning researchers and academicians

Robotics doctorates

Control systems and Mechatronics expertise

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

· Rehabilitation Robotics and assistive exoskeletons

· Human-Robot Interaction

· Space and underwater robots

· Autonomous Robots and Autonomous vehicles

· Walking and Climbing Robots

· Industrial Robot Automation

· Medical Robotics

· Humanoid Robots

· Aerial Robotics and UAV

· Computational Intelligence

· Deep Learning

· Computer Vision

· Kinematics In Robotics

· Robotics and wireless Sensor Networks

· Natural Language Processing

· Intelligent Agents and Multi-agent Systems

· Intelligent Transportation systems

· Pattern Recognition

· Internet of Things

Special Issues:

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

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

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

ConferenceSeries llc LTD invites all the members of ecological family, from all over the world to join and share research at the “6^th world Convention on Robots, Autonomous Vehicles and Deep Learning’’ during 10^th & 11^th September, 2018 at Singapore, which includes prompt keynote presentations, plenary talks, oral talks, poster presentations and exhibitions.

Theme: “A Review on Ethical and Social Implications of Robots”

Smart Robotic Congress 2018 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 and Deep Learning. 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 Deep Learning. This scientific gathering guarantees that offering the thoughts and ideas will enable and secure you the theme “A Review on Ethical and Social Implications of Robots”. Deep Learning is the latest trending technology in many fields especially in industries like manufacturing, control systems, Data mining, etc. The current era fully rolled out with many new Deep Learning technologies. In such case more Software companies and industries were newly introduced within market which obviously shows the market growth of Deep Learning. While analysing the revenue growth of Deep Learning, it highly developed from $180 billion USD to $270 billion USD since from past few years and the annual growth percentage increases from 20-55 percentages, which clearly shows that Software technology contains huge scope in coming years.

Track 1: Rehabilitation Robotics and Assistive Exoskeletons

Rehabilitation is “the restoration of a person to an optimal level of physical, mental, and social function and wellbeing.” Rehabilitation robots include diverse mechatronic devices ranging from artificial limbs to robots for supporting the rehabilitation therapy or for providing personal assistance in hospital and residential set ups. The exoskeleton type of robots resemble the human anatomy. Robot joints are matched to the human joints, so human arm will be attached to the robot arm over one point. The advantage of these types of robot is that it can measure the individual joint angle of the human arm more precisely. The pre-determined robot arm posture can be used to control the individual joint of the human arm. It is essential to control each joint separately. It will reduce the effect of synergy pattern, help patients to improve their coordination of upper limb movement.

Global summit on Nanotechnology and Nano robotics, November 8-9, 2017 New Orleans, Louisiana, USA, 5th International conference on Automation and Robotics, April 16-17, 2018 Las Vegas, USA, 5th International conference on Artificial Intelligence, April 16-17, 2018 Las Vegas, USA, 4th Global Summit and Expo on Multimedia & Artificial Intelligence, July 19-21, 2018 Rome, Italy, 4th International Conference and Expo on Automobile Engineering and Design, May 16-17, 2018 Tokyo, Japan, AI Assistant Summit, London, March 22-23, UK, Deep Learning in Finance Summit, March 22-23, London, UK, Deep Learning in Retail and Advertising Summit, March 22-23 London, UK, Int. Conference on Data Intelligence and Security, April 8-10, South Padre Island, TX, USA

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.

4th International Conference and Expo on Automobile Engineering and Design, May 16-17, 2018 Tokyo, Japan, Global summit on Nanotechnology and Nano robotics, November 8-9, 2017 New Orleans, Louisiana, USA, USA, 5th International conference on Automation and Robotics, April 16-17, 2018 Las Vegas, USA, 5th International conference on Artificial Intelligence, April 16-17, 2018 Las Vegas, USA, 4th Global Summit and Expo on Multimedia & Artificial Intelligence, July 19-21, 2018 Rome, Italy, SAS Global Forum April 8-11, Denver, CO, USA, Marketing Analytics and Data Science conference, April 11-13, San Francisco, CA, USA, Machine Intelligence Summit, April 12-13, Hong Kong, Deep Learning Summit, April 12-13, Hong Kong

Track 3: Space and Underwater Robots

Robots play a vital role in exploring the hostile environment of outer space. Besides the Earth, the Moon is the only celestial body that humans have stepped on. However, advancements in research are making it possible for robotic missions to reach space faster and gather more information than humans. Robots don’t get tired, can operate in airless environment and do not get bored or distracted, making them superior to humans in a lot of ways. Recently, Underwater Robotics has grown from nascent navigation and control algorithms for underwater and surface vehicles, to powered autonomous underwater vehicles routinely able to dive Pacific beyond 6000meters. We have seen underwater gliders cross the Atlantic Ocean and unmanned surface platforms (Wave Gliders) cross the Underwater Robotics as a field is set up to make a major contribution to understanding large scale societal problems. Emerging marine robotic developments will afford scientists advanced tools to explore and exploit the oceans at an unprecedented scale, in a sustainable manner. Robots play a vital role in exploring the hostile environment of outer space. Besides the Earth, the Moon is the only celestial body that humans have stepped on. However, advancements in research are making it possible for robotic missions to reach space faster and gather more information than humans. Robots don’t get tired, can operate in airless environment and do not get bored or distracted, making them superior to humans in a lot of ways.

5th International conference on Artificial Intelligence, April 16-17, 2018 Las Vegas, USA, 4th Global Summit and Expo on Multimedia & Artificial Intelligence, July 19-21, 2018 Rome, Italy, 4th International Conference and Expo on Automobile Engineering and Design, May 16-17, 2018 Tokyo, Japan, Global summit on Nanotechnology and Nano robotics, November 8-9, 2017 New Orleans, Louisiana, USA, 5th International conference on Automation and Robotics, April 16-17, 2018 Las Vegas, USA, AI in Industrial Automation Summit, June 21-22, San Francisco, CA, USA, Deep Learning for Robotics Summit, June 21-22, San Francisco, CA, USA, Int. Conference on Mass Data Analysis of Signals and Images, July 7-10, New York, NY, USA, I18th Industrial Conference on Data Mining, July 11-15, New York, NY, USA

Track 4: Autonomous Robots and Autonomous vehicles

An autonomous robot is a robot that performs behaviours or tasks with a high degree of autonomy, which is particularly desirable in fields such as spaceflight, household maintenance (such as cleaning), waste water treatment and delivering goods and services. Some modern factory robots are "autonomous" within the strict confines of their direct environment. It may not be that every degree of freedom exists in their surrounding environment, but the factory robot's workplace is challenging and can often contain chaotic, unpredicted variables. The exact orientation and position of the next object of work and (in the more advanced factories) even the type of object and the required task must be determined. One important area of robotics research is to enable the robot to cope with its environment whether this is on land, underwater, in the air, underground, or in space.

Track 5: Walking and Climbing Robots

Intelligent robot to move flexibly and reliably across a variety of ground surfaces, such as wheels, crawlers, legs, etc. to support crawling, rolling, walking, climbing, jumping, etc. types of movement. The application fields of such locomotion mechanisms are naturally restricted, depending on the condition of the ground. In order to have good mobility over uneven and rough terrain a legged robot seems to be a good solution because legged locomotion is mechanically superior to wheeled or tracked locomotion over a variety of soil conditions and certainly superior for crossing obstacles. In addition, the potential is enormous for wall and pipe climbing robots that can work in extremely hazardous environments, such as atomic energy, chemical compounds, high-rise buildings and large ships. The focus on developing such robots has intensified while novel and bio-inspired solutions for complex and very diverse applications have been anticipated by means of significant progress in VI this area of robotics and the supporting technologies such as, bio-inspired actuators, light and strong composite smart materials, reliable adhesion mechanisms, modular and reconfigurable structures, intelligent sensors, etc. Some wall climbing robots are in use in industry today to clean high-rise buildings, and to perform inspections in dangerous environments such as storage tanks for petroleum industries and nuclear power plants.

Track 6: 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 7: 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 8: Humanoid Robots

A humanoid robot is a robot with its body shape built to resemble the human body. A humanoid design might be for functional purposes, such as interacting with human tools and environments, for experimental purposes, such as the study of bipedal locomotion, or for other purposes. In general, humanoid robots have a torso, a head, two arms, and two legs; though some forms of humanoid robots may model only part of the body, for example, from the waist up. Some humanoid robots also have heads designed to replicate human facial features such as eyes and mouths. Androids are humanoid robots built to aesthetically resemble humans.

Related Societies and Association: Singapore Industrial Automation Association (SIAA) Robotic Association of Spain Swedish Industrial Robot Association (SWIRA)

International Service Robot Association

Track 9: 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, airworthiness, safety and certification, risk assessment, multi-vehicle coordination, UAS traffic management (UTM).

Track 10: Computational Intelligence

Computational intelligence is the study of the design of intelligent agents. An agent is something that acts in an environment—it does something. Agents include worms, dogs, thermostats, airplanes, humans, organizations, and society. An intelligent agent is a system that acts intelligently: What it does is appropriate for its circumstances and its goal, it is flexible to changing environments and changing goals, it learns from experience, and it makes appropriate choices given perceptual limitations and finite computation. The central scientific goal of computational intelligence is to understand the principles that make intelligent behavior possible, in natural or artificial systems. The main hypothesis is that reasoning is computation.

Related Societies and Association: Singapore Industrial Automation Association (SIAA) Robotic Association of Spain Swedish Industrial Robot Association (SWIRA)

Track 11: 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 12: Computer Vision

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 13: Kinematics in Robotics

Robot kinematics applies geometry to the study of the movement of multi-degree of freedom kinematic chains that form the structure of robotic systems.The emphasis on geometry means that the links of the robot are modelled as rigid bodies and its joints are assumed to provide pure rotation or translation. Robot kinematics studies the relationship between the dimensions and connectivity of kinematic chains and the position, velocity and acceleration of each of the links in the robotic system, in order to plan and control movement and to compute actuator forces and torques. The relationship between mass and inertia properties, motion, and the associated forces and torques is studied as part of robot dynamics.

A fundamental tool in robot kinematics is the kinematics equations of the kinematic chains that form the robot. These non-linear equations are used to map the joint parameters to the configuration of the robot system. Kinematics equations are also used in biomechanics of the skeleton and computer animation of articulated characters.

Track 14: Robotics and Wireless Sensor Networks

According to recent survey of an emerging, cutting-edge, and multi-disciplinary field of research at the intersection of Robotics and Wireless Sensor Networks (WSN) which refer to as Robotic Wireless Sensor Networks (RWSN). Survey defines a Robotic Wireless Sensor Network as an autonomous networked multi-robot system that aims to achieve certain sensing goals while meeting and maintaining certain communication performance requirements, through cooperative control, learning and adaptation. While both of the component areas, i.e., Robotics and WSN, are very well-known and well-explored, there exist a whole set of new opportunities and research directions at the intersection of these two fields which are relatively or even completely unexplored. One such example would be the use of a set of robotic routers to set up a temporary communication path between a sender and a receiver that uses the controlled mobility to the advantage of packet routing.

Track 15: Natural Language Processing

Natural Language Processing (NLP) refers to AI method of communicating with intelligent systems using a natural language such as English. Processing of Natural Language is required when you want an intelligent system like robot to perform as per your instructions, when you want to hear decision from a dialogue based clinical expert system, etc. The field of NLP involves making computers to perform useful tasks with the natural languages humans use Natural Language Processing is a field that covers computer understanding and manipulation of human language, and it’s ripe with possibilities for newsgathering, 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.

Track 16: 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 17: 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 18: Pattern Recognition

Pattern recognition is a branch of machine learning that focuses on the recognition of patterns and regularities in data, although it is in some cases considered to be nearly synonymous with machine learning. Pattern recognition systems are in many cases trained from labelled "training" data, but when no labelled data are available other algorithms can be used to discover previously unknown patterns (unsupervised learning) Pattern recognition algorithms generally aim to provide a reasonable answer for all possible inputs and to perform "most likely" matching of the inputs, taking into account their statistical variation. This is opposed to pattern matching algorithms, which look for exact matches in the input with pre-existing patterns In contrast to pattern recognition; pattern matching is generally not considered a type of machine learning, although pattern-matching algorithms can sometimes succeed in providing similar-quality output of the sort provided by pattern-recognition algorithms.

Track 19: Internet of Things

The Internet of things (IoT) is the network of physical devices, vehicles, home appliances, and other items 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.

The 6^th World Convention on Robots , Autonomous Vehicles and Deep Learning will exhibit the products and services from commercial and non-commercial organizations like Robot Industries, Automation Industries, Management Consultants , Industrial Robots manufacturers , Business delegates and Equipment Manufacturers.

Conference Highlights

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Conference Date	September 10-11, 2018
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