计算机科学
运动(物理)
运动规划
选择(遗传算法)
管理科学
运筹学
数学优化
工业工程
工程类
人工智能
数学
机器人
作者
Yajue Yang,Jia Pan,Weiwei Wan
标识
DOI:10.1049/iet-csr.2018.0003
摘要
Optimal motion planning becomes more and more important these days and is critical for motion planning algorithms developed in the academia to be applicable to real‐world applications. The objective of this article is to survey the current state‐of‐the‐art on optimal motion planning algorithms in terms of their three main components: the decision variables and problem formulation, constraints, and objectives. A selection of proposed techniques is reviewed along with a discussion of their effectiveness and limitations. The side‐by‐side comparison presented in this survey helps to gain insight into the strengths and limitations of the reviewed approaches and assists with system‐level design choices.
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