一种可折叠变形的模块化机械臂关节,提升操作灵活性与空间适应性。
Prismatic-Bending Transformable (PBT) Joint for a Modular, Foldable Manipulator with Enhanced Reachability and Dexterity
- 基于剪刀结构设计,单模块实现弯曲、旋转与伸缩功能。
- 三种尺寸原型验证,显著增强在狭小空间的可达性与灵巧性。
- 模块化设计适配多种场景,便于部署、运输与维护,适合复杂环境作业。
传统机器人机械臂采用经典关节-连杆结构,在工业应用中表现优异,但在人机交互和通用任务中面临灵巧性与适应性不足的问题。为此,本文提出一种新型剪刀式可变形棱柱-弯曲关节(Prismatic-Bending Transformable, PBT)关节,具备方向保持能力,可在单一模块内实现弯曲、旋转、伸缩三种运动。该设计支持可重构、可扩展的变形运动链,适用于多样任务。文中详述了机械结构、优化设计、运动学与动力学建模及实验验证,并展示了其在可折叠、模块化机械臂中的集成应用。PBT关节作为单一库存单位(SKU),可完全由标准化组件构建机械臂,亦可作为现有系统(如腕部模块)的模块化延伸,简化设计、部署、运输与维护流程。三种不同尺寸的关节已开发并测试,显著提升了在狭窄与杂乱空间中的操作灵巧性、可达性与适应性。本工作为机器人机械臂发展提供了一种紧凑、多功能的新方案,适用于动态与受限环境下的作业需求。
原文摘要 · Abstract (English)
Robotic manipulators, traditionally designed with classical joint-link articulated structures, excel in industrial applications but face challenges in human-centered and general-purpose tasks requiring greater dexterity and adaptability. To address these challenges, we propose the Prismatic-Bending Transformable (PBT) Joint, a novel, scissors-inspired mechanism with directional maintenance capability that provides bending, rotation, and elongation/contraction within a single module. This design enables transformable kinematic chains that are modular, reconfigurable, and scalable for diverse tasks. We detail the mechanical design, optimization, kinematic and dynamic modeling, and experimental validation of the PBT joint, demonstrating its integration into foldable, modular robotic manipulators. The PBT joint functions as a single stock keeping unit (SKU), enabling manipulators to be constructed entirely from standardized PBT joints. It also serves as a modular extension for existing systems, such as wrist modules, streamlining design, deployment, transportation, and maintenance. Three joint sizes have been developed and tested, showcasing enhanced dexterity, reachability, and adaptability, particularly in confined and cluttered spaces. This work presents a promising approach to robotic manipulator development, providing a compact and versatile solution for operation in dynamic and constrained environments.
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