Overweight Object Transportation with a Set of Collaborative Robots

Miguel Castorena, N. Doan, Benjamin Gillmore, Jimmy Lahn, Joshua Lorenzen, Oscar Morales-Ponce
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Abstract

We study the box pushing problem with a set of robots. Robots and relocated objects are placed on opposite sides in such a way that robots have a direct view of the objects. We consider a rather weak model where robots do not have access to a localization system and are disoriented. Further, robots do not know the weight of the boxes nor of their own pushing capabilities. Robots do have access to a wireless device to communicate with other robots. The objective is to design a distributed algorithm that lets the robots self-coordinate to move the objects. We propose a synchronous algorithm that allows the robots to self-coordinate to relocate the box. We use Timed Input/Output Automata to describe the algorithms and show that the algorithm correctly completes the task. Then we extend the algorithm to deal with obstacles and robot failures. We implement the algorithm in SyRof (a testbed built at California State University Long Beach.) The testbed consists of four robots equipped with omnidirectional wheels to simulate drones and an autopilot that provides a synchronous system. The resulting implementation allows the robots to complete the task successfully.
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一组协作机器人的超重物体运输
我们用一组机器人研究推箱问题。机器人和重新安置的物体被放置在相对的两侧,这样机器人可以直接看到物体。我们考虑一个相当弱的模型,其中机器人无法访问定位系统并且迷失方向。此外,机器人不知道箱子的重量,也不知道自己的推动能力。机器人确实可以使用无线设备与其他机器人进行通信。目标是设计一种分布式算法,使机器人能够自我协调移动物体。我们提出了一种同步算法,允许机器人自协调来重新定位盒子。我们使用定时输入/输出自动机来描述算法,并证明该算法正确地完成了任务。然后将该算法扩展到障碍物和机器人故障的处理。我们在syof(一个在加州州立大学长滩分校建立的测试平台)中实现了该算法。该试验台由四个机器人组成,它们配备了模拟无人机的全向轮和提供同步系统的自动驾驶仪。结果实现允许机器人成功完成任务。
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