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Modeling human skills to control dynamic systems

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2 Author(s)
Yongsheng Ou ; Dept. of Autom. & Comput. Eng., Chinese Univ. of Hong Kong, China ; Yangsheng Xu

There are many successful industrial applications of control methods based on imparting human skills. However, all applications to date are task-lever controllers, i.e., when switching from one task to another, they need to be retrained. We do not focus simply on task-level human learning control, but on how to produce a general control law in which we can input control targets, i.e., to enable us to change control targets for which controllers have not been trained. Using a dynamically stabilized but statically unstable single-wheel mobile robot - Gyrover - we use this new method to control and thus confirm the validity and efficiency of the method.

Published in:

Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on  (Volume:1 )

Date of Conference:

8-13 Oct. 2003