A Backdrivable Kinematically Redundant (6+3)-Degree-of-Freedom Hybrid Parallel Robot for Intuitive Sensorless Physical Human-Robot Interaction

A novel backdrivable 3-[ R ( R R- R RR)SR] kinematically redundant (6+3)-degree-of-freedom (DOF) spatial hybrid parallel robot with revolute actuators is proposed for low-impedance physical human-robot interaction. The kinematic model is developed based on the constraint conditions of the robot. It...

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Veröffentlicht in:IEEE transactions on robotics 2021-08, Vol.37 (4), p.1222-1238
Hauptverfasser: Wen, Kefei, Nguyen, Tan Sy, Harton, David, Laliberte, Thierry, Gosselin, Clement
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Sprache:eng
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Zusammenfassung:A novel backdrivable 3-[ R ( R R- R RR)SR] kinematically redundant (6+3)-degree-of-freedom (DOF) spatial hybrid parallel robot with revolute actuators is proposed for low-impedance physical human-robot interaction. The kinematic model is developed based on the constraint conditions of the robot. It is shown that the type II (parallel) singularities can be completely avoided, thereby yielding a very large translational and orientational workspace. A workspace analysis is presented in order to demonstrate the capabilities of the robot. Mechanisms are then introduced to use the redundant DOF of the robot to operate a gripper with the robot actuators, which are mounted on or close to the base, thus reducing the inertia of the moving parts. The architecture of the robot makes it possible to use direct drive motors, thereby making the robot easily backdrivable and allowing the use of a very simple and effective controller. A prototype of the robot is then designed and built and the large workspace of the robot as well as the effortless physical human-robot interaction are demonstrated. The controller of the robot is then described, including a position control mode and a control mode for physical interaction, which does not require the use of a force/torque sensor or joint torque sensors. Because of its backdrivability and low moving inertia, the robot is particularly well-suited for physical human-robot interaction, as demonstrated in the accompanying videos.
ISSN:1552-3098
1941-0468
DOI:10.1109/TRO.2020.3043723