Depth Sensor Placement for Human Robot Cooperation

Max Stähr, Andrew M. Wallace, Neil M. Robertson

Abstract

Continuous sensing of the environment from a mobile robot perspective can prevent harmful collisions between human and mobile service robots. However, the overall collision avoidance performance depends strongly on the optimal placement of multiple depth sensors on the mobile robot and maintains flexibility of the working area. In this paper, we present a novel approach to optimal sensor placement based on the visibility of the human in the robot environment combined with a quantified risk of collision. Human visibility is determined by ray tracing from all possible camera positions on the robot surface, quantifying safety based on the speed and direction of the robot throughout a pre-determined task. A cost function based on discrete cells is formulated and solved numerically for two scenarios of increasing complexity, using a CUDA implementation to reduce computation time.

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Paper Citation


in Harvard Style

Stähr M., M. Wallace A. and M. Robertson N. (2014). Depth Sensor Placement for Human Robot Cooperation . In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-040-6, pages 311-318. DOI: 10.5220/0005017103110318


in Bibtex Style

@conference{icinco14,
author={Max Stähr and Andrew M. Wallace and Neil M. Robertson},
title={Depth Sensor Placement for Human Robot Cooperation},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2014},
pages={311-318},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005017103110318},
isbn={978-989-758-040-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Depth Sensor Placement for Human Robot Cooperation
SN - 978-989-758-040-6
AU - Stähr M.
AU - M. Wallace A.
AU - M. Robertson N.
PY - 2014
SP - 311
EP - 318
DO - 10.5220/0005017103110318