Call for Abstract

4th World Congress on Robotics and Artificial Intelligence, will be organized around the theme “Smart Living Machines for Sustainable Future”

Smart Robotics Congress 2017 is comprised of keynote and speakers sessions on latest cutting edge research designed to offer comprehensive global discussions that address current issues in Smart Robotics Congress 2017

Submit your abstract to any of the mentioned tracks.

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A robot is a reprogrammable, multifunctional manipulator designed to move material, parts, tools or specialized devices through variable programmed motions for the performance of a variety of tasks. Robots are the largest growing technological devices in the world. They perform many functions ranging from space exploration to entertainment. 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

  • Track 1-1Introduction to robotics
  • Track 1-2Classification of robotics
  • Track 1-3Types of robots
  • Track 1-4Robotics in science fiction
  • Track 1-5The robotic market and future aspects
Screw theory is the algebra and calculus of pairs of vectors, such as forces and moments and angular and linear velocity that arise in the kinematics and dynamics of rigid bodies. The motion of a particle mass is easy to describe because its configuration can be associated to a point of the three-dimensional Euclidean space. After having chosen coordinates, each point can be associated to a triple of real numbers in R3 but the most important thing is that the algebraic and topological properties of R3 correspond to real physical properties of the motion of the particle forces can be added velocity vectors too magnitudes of vectors correspond to magnitudes of forces and velocities orthogonally of a force and velocity vector gives zero power the velocity and acceleration.
  • Track 2-1Coordinate transformation of screws
  • Track 2-2Algebra of screws
  • Track 2-3Application of kinematics and statics
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 intelligencerobotics, natural language understanding, design, and social sciences.Human–robot interaction 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 3-1Field robotics
  • Track 3-2Home and companion robotics
  • Track 3-3Hospitality
  • Track 3-4Rehabilitation and Elder Care
  • Track 3-5Robot Assisted Therapy (RAT)
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 4-1Material handling robot
  • Track 4-2Machine loading and/or unloading robot
  • Track 4-3Spot welding robot
  • Track 4-4Continuous arc welding robot
  • Track 4-5Spray coating robot
  • Track 4-6Assembly robot
It is the utilization of the life sciences, physical sciences, arithmetic and building standards to characterize and tackle issues in science, solution, medicinal services and different fields. It incorporates Biomaterial and Nano innovation, Bio-medicinal miniaturized scale gadgets, Micro building, biomedical designing and Development of biomechanics for human life structures.
  • Track 5-1Biomaterials and Nano technology
  • Track 5-2Bio-medical applications
  • Track 5-3Environmental fluid dynamics
  • Track 5-4Bio-medical micro devices
  • Track 5-5Micro engineering
  • Track 5-6Biomedical engineering
Robotics is the branch of innovation that arrangements with the configuration, development, operation, and utilization of robots. Mechatronics is the branch of science that consolidating hardware and mechanical designing. These incorporate Bio-enlivened movement for wheeled portable robots, Potential utilization of robots on additional physical bodies, Pneumatic counterfeit muscles for mechanical hand and Aero-space apply autonomy and challenges.
  • Track 6-1Bio-inspired motion for wheeled mobile robots
  • Track 6-2Potential use of robots on extra-terrestrial bodies
  • Track 6-3Pneumatic artificial muscles for robotic hand
  • Track 6-4Aero-space robotics and challenges
  • Track 6-5Military robots and drones
Micro Electro Mechanical Systems (MEMS) and Micro robotics research spans design methodologies, physical investigations and manufacturing techniques involving various micro sensors, micro actuators and other microsystems. Selected applications include inertial sensor suites for control and guidance, miniature wall-climbing robots using micro/Nano-fiber adhesives; arrayed MEMS probe manipulators for tip-based Nano manufacturing, gas chemical sensor arrays for early warning systems, and ultra-compliant neural probes for brain-computer interfaces..
  • Track 7-1Micro Electro Mechanical Systems (MEMS) design and fabrication
  • Track 7-2micro and Nano robotic systems
  • Track 7-3implantable medical micro systems
Robot manipulators are created from a sequence of link and joint combinations. The links are the rigid members connecting the joints, or axes. The axes are the movable components of the robotic manipulator that cause relative motion between adjoining links. The mechanical joints used to construct robotic arm manipulator consist of five principal types. Two of the joints are linear, in which the relative motion between adjacent links is non-rotational, and three are rotary types, in which the relative motion involves rotation between links.
  • Track 8-1Off Line Programming
  • Track 8-2Simulation Packages
  • Track 8-3Robotic Simulation
  • Track 8-4Applications
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 9-1Fuzzy Logic
  • Track 9-2Swarm Intelligence
  • Track 9-3Expert Systems
  • Track 9-4Cognitive aspects of Artificial intelligence
  • Track 9-5Intelligent robotics
  • Track 9-6Planning and theories of action
Medical robotics is an interesting discipline that is related to human health of all individuals. Their use is becoming popular due to their numerous advantages in the medical field. Medical robotics is a stimulating and modern field in medical science that involves numerous operations and extensive use of telepresence. The discipline of telepresence signifies the technologies that permit an individual to sense as if they were at another location without being actually there. Robots are utilized in the discipline of medicine to execute operations that are normally performed manually by human beings.
  • Track 10-1 Robotic Surgery
  • Track 10-2Robotic Oncology
  • Track 10-3Computer-assisted surgery
  • Track 10-4Interventional robots
  • Track 10-5Bio-medical imaging
Multi-robot system configuration control algorithms must be able to sense the geometry of the network. The most common sensor models assume that either only the ranges between robots is known, or that there is a global coordinate system. However, range-only models require extensive computation to produce useful geometric information, and global coordinates might not be available in all environments. The local network geometry model is a compromise between these two that is well-suited to multi-robot systems.
  • Track 11-1Multi-Robot SLAM: A Vision-Based Approach
  • Track 11-2Distributed Adaptive Control for Networked Multi-Robot Systems
  • Track 11-3Formation and Obstacle Avoidance in the Unknown Environment of Multi-Robot System
Telerobotics is the area of robotics concerned with the control of semi-autonomous robots from a distance, chiefly using Wireless network (like Wi-Fi, Bluetooth, the Deep Space Network, and similar) or tethered connections. It is a combination of two major subfields, teleportation and telepresence.
  • Track 12-1Teleoperations for Robotics
  • Track 12-2Applications of Telerobotics
  • Track 12-3Interfaces
  • Track 12-4Screws by reflection
Robot localization is a collection of state estimation nodes, each of which is an implementation of a nonlinear state estimator for robots moving in 3D space. It contains two state estimation nodes, ekf_localization_node and ukf_localization_node.In addition, robot localization provides navsat_transform_node, which aids in the integration of GPS data. Robotic mapping is a discipline related to cartography. The goal for an autonomous robot is to be able to construct (or use) a map or floor plan and to localize itself in it. Robotic mapping is that branch of one, which deals with the study and application of ability to construct map or floor plan by the autonomous robot and to localize itself in it.
  • Track 13-1Global Position System (GPS)
  • Track 13-2Additional Source for Application and Theory
  • Track 13-3Dead Reckoning
  • Track 13-4Robot Navigation
  • Track 13-5Map Representation & Path Planning
A mobile robot is an automatic machine that is capable of locomotion. A spying robot is an example of a mobile robot capable of movement in a given environment. Mobile robots have the capability to move around in their environment and are not fixed to one physical location
  • Track 14-1Unmanned Ground Vehicles (UGVs)
  • Track 14-2Autonomous underwater vehicles (AUVs)
  • Track 14-3Mobile Robot Navigation
  • Track 14-4Sliding autonomy
  • Track 14-5Object Path Planner for the Box Pushing Problem
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
  • Track 15-1Bipedal Locomotion
  • Track 15-2Recent Developments
  • Track 15-3Actuators
  • Track 15-4Planning & Control
Neural networks are a computational approach which is based on a large collection of neural units loosely modelling the way a biological brain solves problems with large clusters of biological neurons connected by axons. Each neural unit is connected with many others, and links can be enforcing or inhibitory in their effect on the activation state of connected neural units. Each individual neural unit may have a summation function which combines the values of all its inputs together. The goal of the neural network is to solve problems in the same way that the human brain would, although several neural networks are much more abstract. Modern neural network projects typically work with a few thousand to a few million neural units and millions of connections, which is still several orders of magnitude less complex than the human brain and closer to the computing power of a worm.
New brain research often stimulates new patterns in neural networks. One new approach is using connections which span much further and link processing layers rather than always being localized to adjacent neurons
  • Track 16-1Computational Power
  • Track 16-2Capacity
  • Track 16-3Convergence
  • Track 16-4Generalization and statistics
Recently, Marine Robotics has grown from nascent navigation and control algorithms for underwater and surface vehicles, to powered autonomous underwater vehicles routinely able to dive beyond 6000 meters. We have seen underwater gliders cross the Atlantic Ocean and unmanned surface platforms (Wave Gliders) cross the Pacific.
Marine 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.
  • Track 17-1Actuation and Sensing Systems
  • Track 17-2Guidance, Navigation and Control
  • Track 17-3Mission Control Systems
  • Track 17-4Outreach and Engagement
  • Track 17-5Persistent Monitoring

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 18-1UAS Guidance, Navigation and Control
  • Track 18-2Airframe design
  • Track 18-3UAS autonomy: perception, planning and control
  • Track 18-4Sense and Avoid
  • Track 18-5Aerial vehicle teams
  • Track 18-6Aerial manipulation
  • Track 18-7UAS integration in non-segregated airspaces
  • Track 18-8Aerial Robotics and UAV application
3D printing is used extensively to prototype, manufacture and customize robots. The technology is used by researchers, companies and home users. Small, unique and custom 3D printed parts match the low volumes of custom or new robots best. Robots are often customized for particular applications. In applications such as customizing robot grippers or improving a robot on a production line, 3D printing can provide fast low cost solutions. When prototyping new robots or making small series of robots 3D printing can be used as a manufacturing technology. Exciting new applications such as 3D printing soft robotics or making integrated robots through 3D printing are frontiers that are beginning to be explored.
  • Track 19-1• 3D Printing for prototypes
  • Track 19-2• 3D Printing for open source robotics
  • Track 19-3• 3D Printing robot grippers

An autonomous robot is a robot that performs behaviors 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. This can vary unpredictably (at least from the robot's point of view).

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 20-1Sensing the environment
  • Track 20-2Task performance
  • Track 20-3Autonomous navigation
  • Track 20-4Open problems in autonomous robotics
  • Track 20-5Energy autonomy and foraging
  • Track 20-6Delivery robot