Autonomous navigation of mobile robots is a well studied problem in robotics. However, the navigation task becomes challenging when multi-robot systems have to cooperatively navigate dynamic environments with deadlock-prone layouts. We present a Distributed Timed Elastic Band (DTEB) Planner that combines Prioritized Planning with the online TEB trajectory Planner, in order to extend the capabilities of the latter to multi-robot systems. The proposed planner is able to reactively avoid imminent collisions as well as predictively resolve potential deadlocks among a team of robots, while navigating in a complex environment. The results of our simulation demonstrate the reliable performance and the versatility of the planner in different environment settings. The code and tests for our approach are available online.
翻译:自主移动机器人的导航问题是机器人领域中研究深入的问题之一。然而,当多个机器人系统需要在死锁易发的动态环境中合作导航时,导航任务变得更加具有挑战性。我们提出了一种分布式定时弹性带(DTEB)规划器,结合优先规划和在线TEB轨迹规划器,以扩展后者在多机器人系统中的应用。所提出的规划器能够在复杂环境中适应性地避免即将发生的碰撞,并预测性地解决机器人团队之间的潜在死锁问题。我们的仿真结果表明了该规划器在不同环境设置下的可靠性和多功能性。我们的方法代码和测试已在网上公开。