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  4. Avoidance of Convex and Concave Obstacles with Convergence ensured through Contraction
 
research article

Avoidance of Convex and Concave Obstacles with Convergence ensured through Contraction

Huber, Lukas
•
Billard, Aude  
•
Slotine, Jean-Jacques
July 17, 2019
IEEE Robotics and Automation Letters

This paper presents a closed-form approach to obstacle avoidance for multiple moving convex and star-shaped concave obstacles. The method takes inspiration in harmonic-potential fields. It inherits the convergence properties of harmonic potentials. We prove impenetrability of the obstacle’s hull and asymptotic stability at a final goal location, using contraction theory. We validate the approach in a simulated co-worker industrial environment, with one KUKA arm engaged in a pick and place grocery task, avoiding in real-time humans moving in its vicinity and in simulation to drive wheel-chair robot in the presence of moving obstacles.

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Type
research article
DOI
10.1109/LRA.2019.2893676
Author(s)
Huber, Lukas
Billard, Aude  
Slotine, Jean-Jacques
Date Issued

2019-07-17

Published in
IEEE Robotics and Automation Letters
Volume

4

Issue

2

Start page

1462

End page

1469

Subjects

Collision Avoidance

•

Optimization and Optimal Control

•

Autonomous Agents

URL

Video

https://www.youtube.com/watch?v=HbNxEVP3pJA

Web Page

http://lasa.epfl.ch/intranet/home/publications/listPublications.php?filter=me&order=Year

PDF

http://lasa.epfl.ch/publications/uploadedFiles/avoidance2019huber_billard_slotine-min.pdf
Editorial or Peer reviewed

REVIEWED

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EPFL

EPFL units
LASA  
RelationURL/DOI

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http://lasa.epfl.ch/publications/uploadedFiles/avoidance2019huber_billard_slotine-min.pdf
Available on Infoscience
January 14, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/153459
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