论文标题
Limms的可行性研究,一种具有各种运动和操纵模式的多代理模块化机器人输送系统
Feasibility Study of LIMMS, A Multi-Agent Modular Robotic Delivery System with Various Locomotion and Manipulation Modes
论文作者
论文摘要
将包装从存储设施运送到消费者前门的物流通常采用高度专业的机器人,通常会将子任务分配到不同的系统,例如操纵器臂进行分类和轮式车辆进行交付。最近的努力试图通过腿部和人形机器人进行统一的方法。但是,这些解决方案占据了大量空间,从而减少了可以适合运送车辆的包装数量。结果,这些庞大的机器人系统通常会降低可伸缩性和任务并行化的潜力。在本文中,我们介绍了Limms(锁存智能模块化移动系统),以解决典型的最后一英里交付的操纵和交付部分,同时保持最小的空间足迹。 Limms是一种对称设计的,6型自由度(DOF)的围状机器人,两端都带有轮子和闩锁机构。通过将锁在表面上并锚定在一端,Limms可以充当传统的6多型操纵器臂。另一方面,多个lims可以锁在一个盒子上,并且表现得像腿部的机器人系统,包装是身体。在运输过程中,与传统的机器人系统相比,LIMM紧紧地折叠,占用的空间要少得多。一大批limms单元可以安装在单个送货工具内部,为新的交付优化和从未做过的混合计划方法打开了潜力。在本文中,使用硬件原型研究和呈现了Limms的可行性,以及在典型的最后一英里交付中的一系列子任务的仿真结果。
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.