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Virtual Kinesthetic Teaching for Bimanual Telemanipulation

Authors :
Barry Lennox
Andrew Weightman
Hanlin Niu
Emily C. Collins
Inmo Jang
Joaquin Carrasco
Source :
SII
Publication Year :
2021
Publisher :
IEEE, 2021.

Abstract

This paper proposes a novel telemanipulation system that enables a human operator to control a dual-arm robot. The operation provides kinesthetic teaching via a digital twin of the robot which the operator cyber-physically guides to perform a task. Its key enabler is the concept of a virtual reality interactive marker, which serves as a simplified end effector of the digital twin robot. In virtual reality, the operator can interact with the marker using bare hands, which are sensed by the Leap Motion on top of a virtual reality headset. Then, the status (e.g. position/orientation) of the marker is transformed to the corresponding joint space command to the remote robot so that its end effector can follow the marker. We provide the details of the system architecture, and implement the system based on commercial robots/devices (i.e. UR5, Robotiq gripper, Leap Motion), virtual reality, ROS, and Unity3D. Moreover, the paper discusses the technical challenges that we had to address, and the system’s potential benefits from a human-robot interaction perspective.

Details

Database :
OpenAIRE
Journal :
2021 IEEE/SICE International Symposium on System Integration (SII)
Accession number :
edsair.doi...........f8b41aa8be6403fa12b8df5293bbb357