2010
DOI: 10.1109/tro.2010.2053733
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A Motion-Planning Algorithm for the Rolling-Body Problem

Abstract: In this paper, we consider the control system Σ defined by the rolling of a strictly convex surface S of IR 3 on a plane without slipping or spinning. The purpose of this paper is to present the numerical implementation of a constructive planning algorithm for Σ, which is based on a continuation method. The performances of that algorithm, both in robustness and convergence speed, are illustrated through several examples.

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Cited by 39 publications
(52 citation statements)
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“…This situation first occurs for Lie brackets of length 5. For instance, given the pair (3,2), one has both…”
Section: )mentioning
confidence: 99%
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“…This situation first occurs for Lie brackets of length 5. For instance, given the pair (3,2), one has both…”
Section: )mentioning
confidence: 99%
“…The continuation method of [39] and [10] belongs to the class of Newton-type methods. See [2] for the application of this method to the rolling-body problem. Proving its convergence amounts to show the global existence for the solution of a nonlinear differential equation, which relies on handling the abnormal extremals associated to the control system.…”
Section: Introductionmentioning
confidence: 99%
“…Under such an actuation, provided that the ball is dynamically symmetric with respect to the plane axes, the spinning of the ball around the vertical axis is canceled out and the ball moves in the so-called pure rolling mode. As a result, motion planning for such a system can be conducted in kinematic formulation, and a number of motion planning algorithms have been developed so far [9]- [14]. In general, however, the existence of the pure rolling mode in a rolling system depends on the inertia distribution as well as on how the system is actuated.…”
Section: Introductionmentioning
confidence: 99%
“…For the kinematic model with pure rolling constraint, tracing geodesic lines on the sphere results in geodesic lines in the contact plane and vice versa, and many algorithms exploit this property explicitly [9], [12], [13] or implicitly as a part of a more general procedure [14]. However, if the rolling is constrained dynamically, this propertygeodesic-to-geodesic mapping-does not, in general, hold true [15].…”
Section: Introductionmentioning
confidence: 99%
“…The geometric approach yields an elegant and efficient way to treat optimal control problems, especially when applied to rolling bodies, e.g. see [43,44,45,46] and subsequent application of geometric theory to the trajectory planning of bodies rolling with and without twisting at the contact point [47]. In particular, the celebrated paper of Jurdjevic [43] demonstrates the analytical solution of the equations for the kinematically controlled ball rolling between two plates using the description of the rolling ball in terms of the Lie group SO(3) × R 2 .…”
Section: Equations Of Motion In Intrinsic Coordinatesmentioning
confidence: 99%