Motion learning by robot apprentices : a fuzzy neural approach
Stoica, Adrian (1995) Motion learning by robot apprentices : a fuzzy neural approach. PhD thesis, Victoria University of Technology.
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)|
|Uncontrolled Keywords:||Robotics, fuzzy systems, neural networks, robots, visuo-motor coordination|
|Subjects:||FOR Classification > 0906 Electrical and Electronic Engineering
FOR Classification > 1006 Computer Hardware
Faculty/School/Research Centre/Department > School of Engineering and Science
|Depositing User:||VU Library|
|Date Deposited:||12 Jul 2010 23:25|
|Last Modified:||23 May 2013 16:43|
|ePrint Statistics:||View download statistics for this item|
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