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Multicontact Postures Computation on Manifolds

Stanislas Brossette, Adrien Escande, Abderrahmane Kheddar

Year
2018
Citations
23

Abstract

We propose a framework to generate static robot configurations satisfying a set of physical and geometrical constraints. This is done by formulating nonlinear constrained optimization problems over non-Euclidean manifolds and solving them. To do so, we present a new sequential quadratic programming solver working natively on general manifolds and propose an interface to easily formulate the problems, with the tedious and error-prone work automated for the user. We also introduce several new types of constraints for having more complex contacts or working on forces/torques. Our approach allows an elegant mathematical description of the constraints and we exemplify it through formulation and computation examples in complex scenarios with humanoid robots.

Keywords

SolverComputationHumanoid robotComputer scienceQuadratic programmingRobotSet (abstract data type)Nonlinear programmingEuclidean geometrySequential quadratic programming

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