A Linear and Exact Algorithm for Whole-Body Collision Evaluation via Scale Optimization
Qianhao Wang, Zhepei Wang, Liuao Pei, Chao Xu, and Fei Gao

TL;DR
This paper introduces a fast, exact, and linear algorithm for whole-body collision evaluation that can be efficiently integrated into optimization processes, significantly improving accuracy and computational speed.
Contribution
The paper presents a novel zero-gap collision evaluation method formulated as a low-dimensional linear program, solvable analytically in linear time.
Findings
Analytical solution in O(m) time for collision evaluation
Efficient gradient computation for optimization
Zero-gap, accurate collision assessment
Abstract
Collision evaluation is of vital importance in various applications. However, existing methods are either cumbersome to calculate or have a gap with the actual value. In this paper, we propose a zero-gap whole-body collision evaluation which can be formulated as a low dimensional linear program. This evaluation can be solved analytically in O(m) computational time, where m is the total number of the linear inequalities in this linear program. Moreover, the proposed method is efficient in obtaining its gradient, making it easy to apply to optimization-based applications.
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Taxonomy
TopicsRobotic Path Planning Algorithms
