Manipulability optimization for multi-arm teleoperation
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Date
2021
Publication Type
Conference Paper
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yes
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Abstract
Teleoperation provides a way for human operators to guide robots in situations where full autonomy is challenging or where direct human intervention is required. It can also be an important tool to teach robots in order to achieve autonomous behaviour later on. The increased availability of collaborative robot arms and Virtual Reality (VR) devices, provides ample opportunity for development of novel teleoperation methods. Since robot arms are often kinematically different from human arms, mapping human motions to a robot in real-time is not trivial. Additionally, a human operator might steer the robot arm toward singularities or its workspace limits, which can lead to undesirable behaviour. This is further accentuated for the orchestration of multiple robots. In this paper, we present a VR interface targeted to multi-arm payload manipulation, which can closely match real-time input motion. Allowing the user to manipulate the payload rather than mapping their motions to individual arms we are able to simultaneously guide multiple collaborative arms. By releasing a single rotational degree of freedom, and by using a local optimization method, we can improve each arm’s manipulability index, which in turn lets us avoid kinematic singularities and workspace limitations. We apply our approach to predefined trajectories as well as real-time teleoperation on different robot arms and compare performance in terms of end-effector position error and relevant joint motion metrics.
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Publication status
published
Editor
Book title
2021 IEEE International Conference on Robotics and Automation (ICRA)
Journal / series
Volume
Pages / Article No.
3956 - 3962
Publisher
IEEE
Event
2021 IEEE International Conference on Robotics and Automation (ICRA 2021)
Edition / version
Methods
Software
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Date collected
Date created
Subject
Robotics; Teleoperation; Multi-Robot System; Optimisation
Organisational unit
09620 - Coros, Stelian / Coros, Stelian
02284 - NFS Digitale Fabrikation / NCCR Digital Fabrication