The ultimate intelligent machine is a robotic system endowed with a flexible and adaptable electro-mechanical structure that is inherently safe in its motions and interactions, coupled with intelligence at different levels of granularity including cognitive capabilities approaching or perhaps exceeding human capabilities in certain aspects.
This course provides a comprehensive introduction to robotic manipulators and systems. Various related topics of importance are also introduced and discussed in relation to the robotic system. It covers what robots can and cannot do today and reviews the current challenges that scientists and technologists are addressing. It will provide a preview of the future in which robotic systems play a central role in our everyday lives.
At the end of the course, the participants will be able to:
- Gain an understanding of what a robotic system is, its different components and how they interact with each other;
- Understand the different terminologies & terms and how they fit in the bigger picture of an intelligent system;
- Gain insight on what robots and robotic system can and cannot do today, the challenges faced and what opportunities lies ahead.
- Better decide how best to use a robotic system, and learn about their applicability.
Introduction to Robotics
- What is a Robotic System?
- Industrial Robots
- Robotic Automation
An Intelligent Machine & Connectivity
- Sensing and actuation
- Control and intelligence
- Real-time systems
Mechanics of Robot Motion
Autonomous Vehicles & Other Applications
- Localization and Mapping
- Navigation and Path Planning
- Perception and Obstacle Avoidance
- Process vs Data Driven approaches
- Machine Learning Methodologies
- Deep Learning
Challenges and Opportunities
- Current challenges
- Impact of 5G
- Connected Robotics shaping our future
People with technical background or experience and interested in robotics and its potential applications.
Who Should Attend
Executives and professionals who are interested in robotic and intelligent systems
Mode of Training
Mr. MARCELO H. ANG, JR
Ang, Jr. received the B.Sc. degrees (Cum Laude) in Mechanical
Engineering and Industrial Management Engineering from the De La Salle
University, Manila, Philippines, in 1981; the M.Sc. degree in Mechanical
Engineering from the University of Hawaii at Manoa, Honolulu, Hawaii,
in 1985; and the M.Sc. and Ph.D. degrees in Electrical Engineering from
the University of Rochester, Rochester, New York, in 1986 and 1988,
respectively. His work experience includes heading the Technical
Training Division of Intel's Assembly and Test Facility in the
Philippines, research positions at the East West Center in Hawaii and at
the Massachusetts Institute of Technology, and a faculty position as an
Assistant Professor of Electrical Engineering at the University of
Rochester, New York.
In 1989, Dr. Ang joined the Department of
Mechanical Engineering of the National University of Singapore, where he
is currently an Associate Professor, with a Joint Appointment at the
Division of Engineering and Technology Management. He also is the Acting
Director of the Advanced Robotics Centre. His research interests span the areas of robotics, mechatronics, and applications of intelligent systems methodologies. He teaches both at the graduate and undergraduate levels in the following areas: robotics; creativity and innovation,
applied electronics and instrumentation; advanced computing; product design and realization. He is also active in consulting work in these areas. In addition to academic and research activities, he is actively
involved in the Singapore Robotic Games as its founding chairman and the
World Robot Olympiad as a member of the Advisory Council.
More info on robotics capabilities (shown in terms of videos) can be found in:
Personal Website: http://guppy.mpe.nus.edu.sg/marcelo/
Advanced Robotics Centre website: http://arc.nus.edu.sg/