Fuzzy associative memory for humanoid robot joint control
Turk, Dong, Kee, Damien, Myatt, Chris, & Wyeth, Gordon (2005) Fuzzy associative memory for humanoid robot joint control. In Sammut, Claude (Ed.) Proceedings of Australasian Conference on Robotics and Automation 2005, Australian Robotics and Automation Association Inc, Sydney, N.S.W.
Traditional approaches to joint control required accurate modelling of the system dynamic of the plant in question. Fuzzy Associative Memory (FAM) control schemes allow adequate control without a model of the system to be controlled. This paper presents a FAM based joint controller implemented on a humanoid robot. An empirically tuned PI velocity control loop is augmented with this feed forward FAM, with considerable reduction in joint position error achieved online and with minimal additional computational overhead.
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|Item Type:||Conference Paper|
|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)|
|Copyright Owner:||Copyright 2005 [please consult the authors]|
|Deposited On:||23 Jun 2010 04:15|
|Last Modified:||10 Aug 2011 17:58|
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