Improved joint control using a genetic algorithm for a humanoid robot

Roberts, Jonathan M., Kee, Damien, & Wyeth, Gordon (2003) Improved joint control using a genetic algorithm for a humanoid robot. In Roberts, Jonathan & Wyeth, Gordon (Eds.) Proceedings of the 2003 Australasian Conference on Robotics and Automation, Australian Robotics and Automation Association Inc, Brisbane, Queensland.

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This paper describes experiments conducted in order to simultaneously tune 15 joints of a humanoid robot. Two Genetic Algorithm (GA) based tuning methods were developed and compared against a hand-tuned solution. The system was tuned in order to minimise tracking error while at the same time achieve smooth joint motion. Joint smoothness is crucial for the accurate calculation of online ZMP estimation, a prerequisite for a closedloop dynamically stable humanoid walking gait. Results in both simulation and on a real robot are presented, demonstrating the superior smoothness performance of the GA based methods.

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109 since deposited on 22 Jun 2010
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ID Code: 32823
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
ISBN: 0958758352
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Adaptive Agents and Intelligent Robotics (080101)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2003 [please consult the authors]
Deposited On: 22 Jun 2010 23:11
Last Modified: 12 Sep 2014 07:35

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