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Teleoperation grasp assistance using infra-red sensor array

Published online by Cambridge University Press:  24 March 2014

Nutan Chen ,
Keng Peng Tee  and
Chee-Meng Chew
Nutan Chen*
Affiliation:
Department of Mechanical Engineering, National University of Singapore, Singapore, 117576 SG Faculty for Informatics, Technical University Munich, Munich, Germany, 80333 DE
Keng Peng Tee
Affiliation:
Institute for Infocomm Research, A*STAR, Singapore, 138632 SG
Chee-Meng Chew
Affiliation:
Department of Mechanical Engineering, National University of Singapore, Singapore, 117576 SG
*
*Corresponding author. E-mail: nutan@in.tum.de
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Summary

Teleoperated grasping requires the abilities to follow the intended trajectory from the user and autonomously search for a suitable pre-grasp pose relative to the object of interest. Challenges include dealing with uncertainty due to the noise of the teleoperator, human elements and calibration errors in the sensors. To address these challenges, an effective and robust algorithm is introduced to assist grasping during teleoperation. Although without premature object contact or regrasping strategies, the algorithm enables the robot to perform online adjustments to reach a pre-grasp pose before final grasping. We use three infrared (IR) sensors that are mounted on the robot hand, and design an algorithm that controls the robot hand to grasp objects using the information from the sensors' readings and the interface component. Finally, a series of experiments demonstrate that the system is robust when grasping a wide range of objects and tracking slow-moving mobile objects. Empirical data from a five-subject user study allows us to tune the relative contributions from the IR sensors and the interface component so as to achieve a balance of grasp assistance and teleoperation.

Keywords

Shared controlGraspingTeleoperationHuman–robot interactionIR sensor
Type
Articles
Information
Robotica , Volume 33 , Issue 4 , May 2015 , pp. 986 - 1002
Copyright
Copyright © Cambridge University Press 2014 

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