2015
DOI: 10.1109/tmech.2015.2409479
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Time-Optimal Path Parameterization for Redundantly Actuated Robots: A Numerical Integration Approach

Abstract: Time-Optimal Path Parameterization (TOPP) under actuation bounds plays a fundamental role in many robotic theories and applications. This algorithm was first developed and perfected for classical serial robotic manipulators whose actuation is non-redundant. Yet, redundantly-actuated systems, such as parallel manipulators or humanoid robots in multi-contact tasks, are increasingly common in all fields of robotics. Here we extend the classical algorithm of TOPP (a.k.a. numerical integration approach) to the case… Show more

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Cited by 54 publications
(76 citation statements)
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References 20 publications
(59 reference statements)
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“…• constraints for redundantly-actuated systems are handled natively: there is no need to project the constraints to the plane (path acceleration × control) at each path position, as done in [10], [11]; • Admissible Velocity Propagation [3], a recent concept for kinodynamic motion planning (see Section VI-A for a brief summary), can be derived "for free"; • robustness to parametric uncertainty, e.g. uncertain coefficients of friction or uncertain inertia matrices, can be obtained in a natural way.…”
Section: Proposed New Approach Based On Reachability Analysismentioning
confidence: 99%
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“…• constraints for redundantly-actuated systems are handled natively: there is no need to project the constraints to the plane (path acceleration × control) at each path position, as done in [10], [11]; • Admissible Velocity Propagation [3], a recent concept for kinodynamic motion planning (see Section VI-A for a brief summary), can be derived "for free"; • robustness to parametric uncertainty, e.g. uncertain coefficients of friction or uncertain inertia matrices, can be obtained in a natural way.…”
Section: Proposed New Approach Based On Reachability Analysismentioning
confidence: 99%
“…which is clearly convex. For redundantly-actuated manipulators, it was shown that the TOPP problem can also be formulated in the form of (1) [11] with…”
Section: A Generalized Constraintsmentioning
confidence: 99%
“…The key idea of the Incremental Projection (IP) algorithm [10] is to maintain inner and outer polyhedral approximations (Y in and Y out ) of the support section Y defined by (6). Y out is stored as a list of inequalities, while Y in as a list of vertices.…”
Section: F Incremental Projection (Ip)mentioning
confidence: 99%
“…PP is extremely fast for the case of two contacts and 4 generators, but its cost quickly increases with the number of contacts and generators, making it appealing only for very large numbers of tests (> 100). IP performs better than LP and PP in many situations, especially for an average number of tests (5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) or for a large number of contacts and generators. IPR is overall the best algorithm because it is always the fastest (except for the case of 2 contacts and 4 generators, which is not very interesting given the large number of false negatives that we measured when using 4 generators).…”
Section: B Test 2 -Incremental Projection Revisitedmentioning
confidence: 99%
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