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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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