Robotics Assignment 1
Name: Sameer Pidadi ID no. : 2010A7PS113P
Project on RESEARCH of Universities of North America on ROBOTICS 1) Robotics Institute, Carnegie Mellon University: Robotics Institute, CMU had various different research themes across the time period of 2005-2010. Some of the noted research areas were as follows
Computer Vision
Field Robotics
Graphics
Humanoids
Human-Robot Interaction
Machine Learning
Manipulation & Control
Manufacturing
Medical Robotics
MEMS/MicroRobotics
Mobile Robots
Multi-Agent Systems
Planning & Scheduling
Quality of Life Technology
Transportation
RERC-APT
Traffic 21
2) University of Pennsylvania, General Robotics, Automation, Sensing and Perception Laboratory The General Robotics, Automation, Sensing and Perception (GRASP) Laboratory at University of Pennsylvania integrates computer science, electrical engineering and mechanical engineering in a vibrant, collaborative environment that fosters interactions between students, research staff and faculty. Pioneering GRA SP researchers are building autonomous vehicles and robots, developing self-configuring humanoids, and making robot swarms a reality.
3) University of Florida The Machine Intelligence Laboratory (MIL) provides a synergistic environment dedicated to the study and development of intelligent, autonomous robots. The faculty and students associated with the laboratory conduct research in the theory and realization of machine intelligence covering topics such as machine learning, real-time computer vision, statistical modeling, robot kinematics, autonomo us vehicles, teleoperation and human interfaces, robot and nonlinear control, computational intelligence, neural networks, Hidden Markov Models (HMMs), and general robotics.
4) Massachusetts Institute of Technology MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) studies this vast, compelling field in an effort to
unlock the secrets of human intelligence, extend the functional capabilities of machines, and explore human/machine interactions. projects under CSAIL, MIT falls into three areas of inquiry: Artificial intelligence – to understand and develop both living and artificial systems capable of intelligent reasoning,
perception, and behaviour. Systems – to discover new principles, models, metrics, and too ls of both hardware- and software-based computer
systems. Theory – to understand the mathematics of computation and i ts wide-ranging, real-world consequences.
5) Tarrant County College The Electronics Technology Program's Robotics and Automation Specialization prepares students to become ,
qualified robotics and automation technicians with a solid technical background and the manual skills to fabricate, test, install, operate, and maintain automated equipment. Course topics include following : Robotic mechanisms Hydraulics and pneumatics Programmable logic controllers Electromechanical devices Basic electronics Microprocessors Robotics
6) Rochester Institute of technology RIT offers education in field of robotics ideal for those who want to be educated within the framework of the traditional electrical engineering program but also want to incorporate the theoretical and practical skills required in designing robots and robotics device. Robotics is coming into everyday life with social and financial implications. Robots and robotic devices become a part of our daily life as a robotic cleaner or a robotic toy. Students in this option receive instructions in areas from advance programming, robotics systems, principles of robotics, and advance robotics. Students in the robotics option are introduced to robotics systems in their third year and experience designing components of a mobile ro bot. In the fourth year, they study principles of robotics covering kinematics and dynamics of robotics manipulators, mobile robots, locomotion types, and complete experiments using various arm and mobile robots. In the final year, they take an advance robotics course where they study dynamics of manipulators, dynamics of mobile robots with advance locomotion techniques, and path planning.
7) Georgia Institute of technology Fundamentals of Autonomous Vehicle Design and Control —Explore robotic computing and software development through simulation and design of a controller (with mission planning) for an autonomous robot. Fundamentals of Industrial Robotics and Deployment of Robots —Learn the fundamentals of industrial automation and robotics including the hardware, controls, equipment, and implementation of a robotic system. Human-Robot Interaction -Learn core human-robot interaction c hallenges: Human-robot teamwork and collaboration, robots learning from people, robots sensing and modeling people in their environments. Perception in Robotics —Survey the state of the art in perception for robotics, which is one of the key enablers to deploying robots in more realistic and unpredictable environments.
8) Monash University Monash's robotics and vision work is known the world over, especially for combining sophisticated computer algorithms with multiple types of sensor on novel hardware platforms, to create robots that ar e able to understand their environment in a way that they can make intelligent decisions when given new tasks to perform. They have robots equipped with 360-degree vision, laser rangers, 360-degree sonar and odor sensors. their robots can assist
the aged by interpreting their gestures, navigate through disaster sites, burrow underground, rescue divers, fly through the air, swarm like ants, generate maps, interpret changes and build up knowledge of the environment.
9) Cognitive Robotics, University of Toronto The Cognitive Robotics group is concerned with endowing robotic or software agents with higher level cognitive functions that involve reasoning, for example, about goals, perception, actions, the mental states of other agents, collaborative task execution, etc. To do this, it is necessary to describe, in a language suitable for automated reasoning, enough of the properties of the robot, its abilities, and its environment, to permit it to make high-level decisions about how to act. The group has developed effective methods for representing and reasoning about the prerequisites and effects of actions, perception and other knowledge-producing actio ns, and natural events and actions by other agents. These methods have been incorporated into a logic programming language for agents called GOLOG (alGOl in LOGic). A prototype implementation of the language has been developed. Experiments have been conducted in using the language to build a high-level robot controller, some software agent applications (e.g. meeting scheduling), and more recently business process modeling tools.
10)Standford University The Stanford AI Lab (SAIL) is the intellectual home for researchers in the Stanford Computer Science Department whose primary research focus is Artificial Intelligence Members of the Stanford AI Lab have contributed to fields as diverse as bio-informatics, cognition, computational geometry, computer v ision, decision theory, distributed systems, game theory, image processing, information retrieval, knowledge systems, logic, machine learning, m ultiagent systems, natural language, neural networks, planning, probabilistic inference, sensor networks, and robotics. We invite you to browse our Web site to find out more about our research. Share our excitement about AI, and the many ways in which computers are changing almost every aspect of our lives.
5 new terms in field of robotics: 1. CMOS Camera: it is a Passive Vision-based sensors used generally in mobile robots for sensing 2. MicroElectroMechanical Systems (MEMS) : Micro-Electro-Mechanical Systems, or MEMS, is a t echnology that in its most general form can be defined as miniaturized mechanical and electro-mechanical elements (i.e., devices and structures) that are made using the techniques of microfabrication. 3. Perception update represents the application o f some perception model to the mobile robot’s exteroceptive sensor inputs and updated belief state to yield a refined belief state representi ng the robot’s current position 4. Motion planning a term used in robotics for the process of detailing a task into discrete motions. Motion planning has several robotics applications, such as autonomy, automation, and robot design in CAD software, as well as applications in other fields, such as animating digital characters, video game AI, architectural design, robotic surgery, and the study of biological molecules. 5. Robotic mapping is related to cartography. The goal for an autonomous robot 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
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