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  4. Collision Avoidance with Limited Field of View Sensing: A Velocity Obstacle Approach
 
conference paper

Collision Avoidance with Limited Field of View Sensing: A Velocity Obstacle Approach

Roelofsen, Steven Adriaan  
•
Gillet, Denis  
•
Martinoli, Alcherio  
2017
2017 IEEE International Conference on Robotics and Automation (ICRA)
IEEE International Conference on Robotics and Automation

Collision avoidance, in particular between robots, is an important component for autonomous robots. It is a necessary component in numerous applications such as human-robot interaction, automotive or unmanned aerial vehicles. While many collision avoidance algorithms take into account actuation constraints, only a few consider sensing limitations. In this paper, we present a reciprocal collision avoidance algorithm based on the velocity obstacle approach that guarantees collision-free maneuvers even when the robots are only capable to sense their environment within a limited Field Of View (FOV). We also present the challenges associated to sensors with limited FOV, show the conditions under which maneuvering can be safely done, and the modifications that a velocity obstacle approach requires to satisfy such conditions. We provide simulations and real robot experiments to validate our approach.

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Type
conference paper
DOI
10.1109/ICRA.2017.7989223
Author(s)
Roelofsen, Steven Adriaan  
Gillet, Denis  
Martinoli, Alcherio  
Date Issued

2017

Published in
2017 IEEE International Conference on Robotics and Automation (ICRA)
Start page

1922

End page

1927

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
REACT  
DISAL  
Event nameEvent placeEvent date
IEEE International Conference on Robotics and Automation

Singapore

May 29 to June 3, 2017

Available on Infoscience
May 19, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/137444
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