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Human-to-robot skill transfer through haptic rendered environment

Yan Chen, Fazel Naghdy

Year
2002
Citations
2

Abstract

A new paradigm for programming of robotics manipulator is being studied. The teaching of the machine will begin with the necessary skills being demonstrated by the human operator in a virtual environment with tactile sensing (haptics). Position and contact force/torque data generated in the virtual environment combined with a priori knowledge about the task will be used to identify and learn the skills in the newly demonstrated tasks and then to reproduce them in the robotics system. The peg-in-hole insertion problem is used as a case study. The overall concept is described. The methodologies developed to build the virtual environment and to learn the basic skills are presented. The results obtained so far are reported. 1

Keywords

RoboticsHaptic technologyArtificial intelligenceTask (project management)Human–computer interactionComputer scienceVirtual machineRobotA priori and a posterioriSimulation

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