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Updated: Mar 18, 2026

Operation of the Collaborative Composite Manufacturing CCM System
Published on: October 1, 2019
具体的多代理路径规划,使动力学上积极的机动能够实现
Keisuke Okumura1,2, Guang Yang1, Zhan Gao1
1University of Cambridge, Cambridge, UK.
本研究介绍了具体的规划,多机器人系统的混合方法. 它将连续动态与可扩展的离散搜索相结合,以实现高效和安全的协调轨迹规划.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
- 控制系统 控制系统
背景情况:
- 在多机器人应用中,协调的轨迹规划至关重要.
- 在密集的环境中,确保无碰撞,无死锁和无活锁的导航与动力学敏捷性是具有挑战性的.
- 现有的方法如连续优化在计算上昂贵,而离散搜索缺乏物理现实性.
研究的目的:
- 引入具体的规划,一种新的混合方法,用于多机器人轨迹规划.
- 为了弥合连续动态和可扩展的保证规划之间的差距.
- 在复杂,动态的环境中实现高效和安全的协调机动.
主要方法:
- 将机器人动态学习,最佳控制和随时完成规划集成到一个模块化框架中.
- 开发一种混合方法,将连续动态与离散搜索相结合.
- 在一个紧的实验室中,现实世界部署了40个机器人 (空中,地面和障碍物).
主要成果:
- 通过40个机器人在密集,时间变化的设置中成功执行按需的连续导航任务.
- 展示积极的机动,大大减少任务完成时间.
- 验证具体规划框架的可扩展性和物理现实性.
结论:
- 具体规划为协调的多机器人轨迹规划提供了一个可扩展和物理现实的解决方案.
- 混合方法有效地应对密集,动态环境中的挑战.
- 该框架提高了多机器人系统在现实世界应用中的效率和灵活性.
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