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Geometric Algorithms for Robot Dynamics: A Tutorial Review

Frank C. Park, Beobkyoon Kim, Cheongjae Jang, Jisoo Hong

发表年份
2018
引用次数
55

摘要

Abstract We provide a tutorial and review of the state-of-the-art in robot dynamics algorithms that rely on methods from differential geometry, particularly the theory of Lie groups. After reviewing the underlying Lie group structure of the rigid-body motions and the geometric formulation of the equations of motion for a single rigid body, we show how classical screw-theoretic concepts can be expressed in a reference frame-invariant way using Lie-theoretic concepts and derive recursive algorithms for the forward and inverse dynamics and their differentiation. These algorithms are extended to robots subject to closed-loop and other constraints, joints driven by variable stiffness actuators, and also to the modeling of contact between rigid bodies. We conclude with a demonstration of how the geometric formulations and algorithms can be effectively used for robot motion optimization.

关键词

Lie groupRigid body dynamicsGeometric mechanicsRobotAlgorithmInvariant (physics)Differential geometryRigid bodyMotion (physics)Inverse dynamics

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