局部避碰与最短路径映射的集成

R. Sharma, Renato Farias, Marcelo Kallmann
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引用次数: 0

摘要

在复杂杂乱环境下对多智能体系统进行仿真时,必须将局部避碰与全局路径规划有效地结合起来。这项工作提出了我们的第一个结果,探索了将最短路径图(SPMs)与局部避碰相结合的新方法,以便为智能体绕过障碍物向目标位置导航提供最佳路径。我们的基于gpu的SPM实现是可用的。•计算方法→碰撞检测;多智能体规划;
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating Local Collision Avoidance with Shortest Path Maps
The effective integration of local collision avoidance with global path planning becomes a necessity when multi-agent systems need to be simulated in complex cluttered environments. This work presents our first results exploring the new approach of integrating Shortest Path Maps (SPMs) with local collision avoidance in order to provide optimal paths for agents to navigate around obstacles toward their goal locations. Our GPU-based SPM implementation is available. CCS Concepts • Computing methodologies → Collision detection; Multi-agent planning;
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