Force‐based perception and manipulation, the DTU team competing in MBZIRC 2017

This paper presents how the team from the Technical University of Denmark (DTU) implemented and solved the second challenge of the Mohamed Bin Zayed International Robotics Challenge. The competition was imitating a disaster scene where a robotic platform had to operate autonomously in a partly known...

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Veröffentlicht in:Journal of field robotics 2019-05, Vol.36 (3), p.517-530
Hauptverfasser: Bilberg, Christopher Prinds, Witting, Christian Aamand, Andersen, Nils Axel, Ravn, Ole
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container_end_page 530
container_issue 3
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container_title Journal of field robotics
container_volume 36
creator Bilberg, Christopher Prinds
Witting, Christian Aamand
Andersen, Nils Axel
Ravn, Ole
description This paper presents how the team from the Technical University of Denmark (DTU) implemented and solved the second challenge of the Mohamed Bin Zayed International Robotics Challenge. The competition was imitating a disaster scene where a robotic platform had to operate autonomously in a partly known environment to localize and manipulate a valve on a panel. To solve the given problem, the robot needs to be able to perceive the environment reliably. This is often accomplished using vision based solutions, however these might not always be feasible. Thus we show how force feedback can successfully be used as an alternative way of perception. To accomplish this the team equipped a robot arm with a force torque sensor, allowing the robot to perceive its environment through direct contact. This approach resulted in a robust solution of the task, independent of several external factors, such as lighting, which might affect a more traditional approach. First the theory and thoughts behind the implementation is presented, followed by an evaluation of the results from physical experiments and the competition itself, ultimately resulting in a robust solution which performed without errors in the competition.
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subjects Competition
control
force feedback
mobile manipulation
Perception
Robot arms
Robotics
Robots
Robustness (mathematics)
Torque sensors (robotics)
wheeled robots
title Force‐based perception and manipulation, the DTU team competing in MBZIRC 2017
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