Motion learning by robot apprentices : a fuzzy neural approach

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.

Name dc:type.qualificationname

phd

Level dc:type.qualificationlevel

doctoral

Grantor dc:publisher.institution

Victoria University of Technology

Year dc:date.issued

1995

Author dc:creator

• Stoica, Adrian

• 0906 Electrical and Electronic Engineering
• 1006 Computer Hardware
• School of Engineering and Science

Language dc:language

en