Imparting Human Intelligence to Machines

Yangsheng Xu

Dept. of Automation & Computer-Aided Engineering
The Chinese University of Hong Kong

Freitag, 15.02.2002, 11 Uhr c.t., M6-114
For over a few decades, people have come from a long way to develop intelligent machines with various schemes of machine intelligence. To build an intelligent machine, the central problems is to abstract intelligence and implant the intelligence to machines so as to allow them to make a right decision (the cognition problem), and to sense the world (the perception problem), and to response with actions (the manipulation problem). The question is where the intelligence comes from. In this talk, we will overview an approach that the author has been working on for many years with his students and colleagues in both Carnegie Mellon University and The Chinese University of Hong Kong. We developed methodologies for modeling and transferring a class of human intelligence, i.e., human control strategies in response to real-time inputs. We will discuss the architectures, practice, pitfalls, and perspective in relation to the following work: (1) how we can efficiently model human control strategy in continuous and discontinuous real-time inputs, (2) whether we need to validate the learned models, (3) how about evaluation of the quality and performance of the human skills associated in the model, (4) what human skills can be transferred to another person, or to a robot, (5) why we need to model the human skill in handling dynamically stable systems, and (6) what sensing inputs should be selected for meaningful models.
Bio
Yangsheng Xu received a PhD from the University of Pennsylvania in Robotics. He is currently Professor and Chairman of Department of Automation and Computer-aided Engineering at the Chinese University of Hong Kong (CUHK). Before joining CUHK, he was a faculty member at the Robotics Institute, Carnegie Mellon University where, with his colleagues and students, he established the Space Robotics Laboratory which was considered as the world first laboratory equipped with a zero-gravity environment, space station model, and a ground-base real-time control station. He designed and built over 10 robot systems including Self-Mobile Space Manipulator, Single-Wheel, Gyroscopically Stabilized Robot, Detachable Mobile Manipulator, and Free-Floating Underactuated Robot. He has also made contributions to abstracting human control strategy and implementing it in various autonomous systems. Recently he has been working on microsystems, wearable robots, and dynamically stable systems. He has published over 180 papers, from over 40 projects funded by both government and industries, as a principle investigator. He has served as Associate Editor of IEEE Transactions in Robotics and Automation, as President of Hong Kong Joint Chapter of RACS, as Chairman of several IEEE conferences, and keynote speaker in eight conferences. He has also served on various advisory boards or panels in government and industries in US, Japan, Korea, Hong Kong, the mainland China and United Nations. He is a Fellow of HKIE and Academician of Euroasia Acadamy of Sciences.

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Wartung durch: Anke Weinberger (2002-02-07).