2017
DOI: 10.1007/978-3-319-67361-5_2
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Safe Self-collision Avoidance for Versatile Robots Based on Bounded Potentials

Abstract: We present a novel and intrinsically safe collision avoidance method for torque-or force-controlled robots. We propose to insert a dedicated module after the nominal controller into the existing feedback loop to blend the nominal control signal with repulsive forces derived from an artificial potential. This blending is regulated by the system's mechanical energy in a way that guarantees collision avoidance and at the same time allows navigating close to collisions. Although using well-known ingredients from p… Show more

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Cited by 4 publications
(3 citation statements)
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“…Shen designed a hazard zone around construction equipment in which site personnel should not be during operations [36]. Gonon applied the potential field method in order to avoid collisions when controlling the excavator [37].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Shen designed a hazard zone around construction equipment in which site personnel should not be during operations [36]. Gonon applied the potential field method in order to avoid collisions when controlling the excavator [37].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Gonon et al. [ 22 ] proposed a modified artificial potential field that includes a viscous damping term to dissipate energy and enforces a limit on the repulsive forces, thus can prevent the repulsive force from oscillating with high frequency. Although repulsive force-based methods are conservative and effective solution for avoiding collisions, the methods repel two proximate links and thus the modified motion may be farther away from the reference motion more than necessary.…”
Section: Introductionmentioning
confidence: 99%
“…A variety of algorithms exist addressing the problem which could be broadly classified into geometric methods, potential field based methods, optimization methods and others. Collision cone [14] and velocity obstacle [15] are algorithms belonging to the first while [16][17][18] gives avoidance using the second category of avoidance methods. Optimization based avoidance method is adopted in [19,20].…”
Section: Introductionmentioning
confidence: 99%