多智能体模块化机器人递送系统LIMMS的可行性研究

Taoyuanmin Zhu, Gabriel I. Fernandez, Colin Togashi, Yeting Liu, D. Hong
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引用次数: 2

摘要

将包裹从存储设施运送到消费者家门口的物流通常使用高度专业化的机器人,通常将子任务分成不同的系统,例如,操纵臂分拣和轮式车辆运送。最近的一些努力试图将有腿机器人和人形机器人统一起来。然而,这些解决方案占用了大量的空间,从而减少了可以装入送货车辆的包裹数量。因此,这些笨重的机器人系统往往降低了可伸缩性和任务并行化的潜力。在本文中,我们引入了LIMMS(闭锁智能模块化移动系统)来解决典型的最后一英里交付的操作和交付部分,同时保持最小的空间占用。LIMMS是一种对称设计的6自由度(DoF)附属物式机器人,两端有轮子和闭锁机构。通过固定在表面上并在一端锚定,LIMMS可以作为传统的6自由度机械臂。另一方面,多个LIMMS可以锁在一个盒子上,就像一个有腿的机器人系统,包裹就是身体。在运输过程中,LIMMS折叠紧凑,与传统机器人系统相比,占用的空间更小。一大组LIMMS单元可以安装在一辆运输车辆中,这为新的运输优化和混合规划方法开辟了前所未有的潜力。本文通过硬件原型和典型最后一英里交付中一系列子任务的仿真结果,研究并提出了LIMMS的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Feasibility Study of LIMMS, A Multi-Agent Modular Robotic Delivery System with Various Locomotion and Manipulation Modes
The logistics of transporting a package from a storage facility to the consumer’s front door usually employs highly specialized robots often times splitting sub-tasks up to different systems, e.g., manipulator arms to sort and wheeled vehicles to deliver. More recent endeavors attempt to have a unified approach with legged and humanoid robots. These solutions, however, occupy large amounts of space thus reducing the number of packages that can fit into a delivery vehicle. As a result, these bulky robotic systems often reduce the potential for scalability and task parallelization. In this paper, we introduce LIMMS (Latching Intelligent Modular Mobility System) to address both the manipulation and delivery portion of a typical last-mile delivery while maintaining a minimal spatial footprint. LIMMS is a symmetrically designed, 6 degree of freedom (DoF) appendage-like robot with wheels and latching mechanisms at both ends. By latching onto a surface and anchoring at one end, LIMMS can function as a traditional 6-DoF manipulator arm. On the other hand, multiple LIMMS can latch onto a single box and behave like a legged robotic system where the package is the body. During transit, LIMMS folds up compactly and takes up much less space compared to traditional robotic systems. A large group of LIMMS units can fit inside of a single delivery vehicle, opening the potential for new delivery optimization and hybrid planning methods never done before. In this paper, the feasibility of LIMMS is studied and presented using a hardware prototype as well as simulation results for a range of sub-tasks in a typical last-mile delivery.
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