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Content Provider | IEEE Xplore Digital Library |
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Author | Law, C.K.-H. Yangsheng Xu |
Copyright Year | 2002 |
Description | Author affiliation: Dept. of Autom. & Comput. Aided Eng., Chinese Univ. of Hong Kong, Shatin, China (Law, C.K.-H.; Yangsheng Xu) |
Abstract | We developed a semi-autonomous control for a dynamically stable robot, Gyrover, by combining machine intelligence and human operating behaviors into a shared control environment. In this system, the entire control task is shared between the autonomous module and the human operator: the robot itself maintains local balancing, while the operator is responsible for the global navigation. The autonomous module consists of two unique and essential behaviors: lateral balancing and fall recovery. These behaviors are modeled by a machine learning algorithm. We developed a method enabling the system to make a reasonable decision in shared control, and addressed the implementation issues in the paper. Experiments demonstrated that this shared control scheme provides an efficient way to control a dynamically stable system, such as Gyrover. |
Sponsorship | IEEE Robotics & Autom. Soc |
Starting Page | 1985 |
Ending Page | 1990 |
File Size | 595980 |
Page Count | 6 |
File Format | |
ISBN | 0780372727 |
DOI | 10.1109/ROBOT.2002.1014832 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2002-05-11 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Navigation Humans Wheels Mobile robots Robotics and automation Automatic control Intelligent robots Control systems Motion control Radio control |
Content Type | Text |
Resource Type | Article |
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