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Fuzzy associative memory for humanoid robot joint control

D. J. Turk, Damien Kee, Christopher Myatt, Gordon Wyeth

Year
2005
Citations
5

Abstract

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 feedforward FAM, with considerable reduction in joint position error achieved online and with minimal additional computational overhead. 1

Keywords

Humanoid robotComputer scienceJoint (building)Controller (irrigation)Fuzzy control systemContent-addressable memoryReduction (mathematics)Fuzzy logicControl theory (sociology)Overhead (engineering)

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