Recursive forward dynamics for multiple robot arms moving a common task object

摘要

Recursive forward dynamics algorithms are developed and presented for an arbitrary number of robot arms moving a commonly held object. The multiarm forward dynamics solutions provide a thorough physical and mathematical understanding of the way several arms behave in response to a set of applied joint moments. The forward dynamics algorithms also provide the necessary analytical foundation for conducting analysis and simulation studies. The multiarm algorithms are based on the filtering and smoothing approach advanced by the author for single-arm dynamics (IEEE Trans. Robots Autom., Dec. 1987, no.6, Dec. 1987 pp.624-39), and they can be built up modularly from the single-arm algorithms. The algorithms compute recursively the joint angle-accelerations, the contact forces, and the task-object accelerations. Algorithms are also developed to evaluate in closed form the linear transformations from the active joint moments to the joint angle accelerations, to the task object accelerations, and to the task-object contact forces. A possible computing architecture is presented as a precursor to a more complete investigation of the computational performance of the dynamics algorithms.