Motion learning by robot apprentices : a fuzzy neural approach

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Stoica, Adrian (1995) Motion learning by robot apprentices : a fuzzy neural approach. PhD thesis, Victoria University of Technology.

Abstract

Futuristic scenarios feature anthropomorphic robots cooperating with humans in daily activities. Efficient cooperation requires new techniques for facilitating man-robot skill transfer. Instead of programming, it is far easier for a human to demonstrate the task, showing the robot the movements it needs to perform. This thesis presents an approach on how robots can learn the visuo-motor coordination of their arms and how they can imitate human arm movements, in order to acquire motor skills from human instructors.

Item type Thesis (PhD thesis)
URI https://vuir.vu.edu.au/id/eprint/15323
Subjects Historical > FOR Classification > 0906 Electrical and Electronic Engineering
Historical > FOR Classification > 1006 Computer Hardware
Historical > Faculty/School/Research Centre/Department > School of Engineering and Science
Keywords Robotics, fuzzy systems, neural networks, robots, visuo-motor coordination
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