A new paradigm for teaching machines to replicate the manipulation skills of humans using tactile sensing in a virtual environment [ 2002-08-01 - 2003-12-31 ]

Research Grant

Researchers: A/Prof Fazel Naghdy (Chief Investigator) ,  Prof Christopher Cook (Chief Investigator)

Brief description A new paradigm for teaching machines to replicate the manipulation skills of humans using tactile sensing in a virtual environment. The broad aims of this proposal are to study machine learning in the psychomotor domain, and to show the feasibility of on line transfer of physically constrained manipulation skills from a human operator to a manipulator through demonstration utilising a virtual training environment with tactile sensing. The proposed work is unique in its approach and hypothesis, and will provide a new insight into the nature of transfer of manipulation skills from human to machine. It will produce new generic intelligent algorithms and methodologies to emulate different stages of human psychomotor learning in machine including perception, imitation, mechanism and complex/overt response.

Funding Amount $50,000

Funding Scheme Discovery Projects

View this grant in the ARC Data Portal