Parallel Dynamics Computation using Prefix Sum Operations
Abstract
We propose a new parallel framework for fast computation of inverse and forward dynamics of articulated robots based on prefix sums (scans). We re-investigate the well-known recursive Newton-Euler formulation of robot dynamics and show that the forward-backward propagation process for robot inverse dynamics is equivalent to two scan operations on certain semigroups. We show that the state-of-the-art forward dynamics algorithms may almost completely be cast into a sequence of scan operations, with unscannable parts clearly identified. This suggests a serial-parallel hybrid approach for systems with a moderate number of links. We implement our scan based algorithms on Nvidia CUDA platform with performance compared with multithreading CPU-based recursive algorithms; a significant level of acceleration is demonstrated.
Cite
@article{arxiv.1609.04493,
title = {Parallel Dynamics Computation using Prefix Sum Operations},
author = {Yajue Yang and Yuanqing Wu and Jia Pan},
journal= {arXiv preprint arXiv:1609.04493},
year = {2016}
}