MCR-Bionic Hand: Anatomical Structural Priors for Dexterous Manipulation
作者: Haosen Yang, Guowu Wei
分类: cs.RO, eess.SY
发布日期: 2026-06-12
💡 一句话要点
提出MCR-Bionic手以解决灵巧机器人手的控制问题
🎯 匹配领域: 支柱一：机器人控制 (Robot Control)
关键词: 灵巧机器人手 生物仿生学 结构智能 肌肉调节 解剖结构 控制系统 多任务操作
📋 核心要点
- 现有的灵巧机器人手控制方法往往忽视了人手解剖结构对灵巧性的影响，导致控制精度不足。
- 论文提出了一种基于解剖结构的MCR-Bionic手，通过结构先验生成和肌肉调节实现灵巧操作。
- 实验结果表明，MCR-Bionic手在多种接触任务中表现优越，能够有效调节手指的稳定性和力量路径。
📝 摘要（中文）
灵巧机器人手通常被视为高维主动控制系统，受自由度、驱动和算法的影响。然而，人手的灵巧性部分源于骨骼、韧带、肌腱等的物理结构。本文提出了两种结构智能形式：结构先验生成和肌肉介导调节。基于此框架，开发了MCR-Bionic手，集成了多种解剖结构，功能演示表明该手在接触丰富的任务中表现出色，展示了生物仿生学在控制中的重要性。
🔬 方法详解
问题定义：本论文旨在解决灵巧机器人手在控制精度和灵活性方面的不足，现有方法未能充分利用人手的解剖结构特征。
核心思路：提出MCR-Bionic手，通过模拟人手的解剖结构，利用结构先验生成和肌肉调节来提高灵巧性和控制能力。
技术框架：整体架构包括两个主要模块：结构先验生成模块和肌肉介导调节模块，前者负责将低维姿态输入转换为默认抓取配置，后者则调节手指的姿态和力量路径。
关键创新：最重要的创新在于将解剖结构与控制策略相结合，形成了一种新的生物仿生手设计理念，与传统的控制方法有本质区别。
关键设计：MCR-Bionic手采用1:1的肌肉骨骼仿生设计，集成了多种解剖结构，如腕部的两排八块骨骼、交叉肌腱和内在肌肉通路等，确保了手的灵巧性和稳定性。
🖼️ 关键图片
📊 实验亮点
实验结果显示，MCR-Bionic手在多种接触任务中表现优异，如硬币旋转、笔转移等，能够有效调节手指的力量路径和接触状态，提升了灵巧操作的精度和稳定性，展示了相较于传统方法的显著优势。
🎯 应用场景
该研究的潜在应用领域包括医疗康复、服务机器人以及人机交互等。MCR-Bionic手的设计理念可以为未来的灵巧机器人手提供新的思路，提升其在复杂环境中的操作能力，具有重要的实际价值和社会影响。
📄 摘要（原文）
Dexterous robotic hands are usually formulated as high dimensional active control systems governed by degrees of freedom, actuation, and algorithms. Human hand dexterity, however, is partly encoded in the physical architecture of bones, ligaments, tendons, aponeuroses, and intrinsic muscles. This work describes that contribution as two linked forms of structural intelligence: structural prior generation, in which wrist to finger tenodesis, FDS/FDP routing, and the dorsal extensor hood transform low dimensional posture inputs into default grasp configurations and PIP to DIP coordination; and muscle mediated modulation, in which extrinsic muscles, lumbricals, and interossei regulate MCP posture, distal stability, fingertip force paths, and contact states around that default state.Based on this framework, MCR-Bionic Hand is developed as a 1:1 musculoskeletal biomimetic hand integrating a two row eight bone wrist, cross wrist tendons, anatomical flexor routing, volar plate and collateral ligament constraints, the dorsal extensor hood, and intrinsic muscle pathways within one body. Functional demonstrations and geometric mechanical models show that wrist posture induces multi joint pre shaping, the extensor hood maps PIP posture to a coupled DIP response, and intrinsic plus pathways modulate distal stability and fingertip action direction after grasp formation. Contact rich tasks, including coin rotation, pen transfer, dorsal coin flipping, and cube manipulation, show that MCR-Bionic links low dimensional state generation with fine post contact modulation. These results suggest that anatomical biomimetics is valuable not for visual similarity, but for identifying human hand structures that perform part of control.