稳健性(进化)
实施
Python(编程语言)
机器人学
计算机科学
路径(计算)
组分(热力学)
算法
机器人
运动规划
数学优化
人工智能
数学
程序设计语言
生物化学
热力学
基因
物理
化学
出处
期刊:IEEE Transactions on Robotics
[Institute of Electrical and Electronics Engineers]
日期:2014-09-11
卷期号:30 (6): 1533-1540
被引量:121
标识
DOI:10.1109/tro.2014.2351113
摘要
Finding the Time-Optimal Parameterization of a given Path (TOPP) subject to kinodynamic constraints is an essential component in many robotic theories and applications. The objective of this article is to provide a general, fast and robust implementation of this component. For this, we give a complete solution to the issue of dynamic singularities, which are the main cause of failure in existing implementations. We then present an open-source implementation of the algorithm in C++/Python and demonstrate its robustness and speed in various robotics settings.
科研通智能强力驱动
Strongly Powered by AbleSci AI