Avoidance of Convex and Concave Obstacles With Convergence Ensured Through Contraction
Author(s)
Huber, Lukas; Billard, Aude; Slotine, Jean-Jacques
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© 2016 IEEE. This letter 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 obstacles 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.
Date issued
2019Department
Massachusetts Institute of Technology. Nonlinear Systems LaboratoryJournal
IEEE Robotics and Automation Letters
Publisher
Institute of Electrical and Electronics Engineers (IEEE)