Development of a 15-Degree-of-Freedom Bionic Hand with Cable-Driven Transmission and Distributed Actuation
Haoqi Han, Yi Yang, Yifei Yu, Yixuan Zhou, Xiaohan Zhu, Hesheng Wang

TL;DR
This paper introduces a novel 15-DoF bionic robotic hand inspired by human anatomy, utilizing a cable-driven mechanism with distributed actuation to achieve high dexterity, lightweight design, and efficient control for manipulation tasks.
Contribution
It presents a new tendon-driven design with distributed motors, reducing actuator count while enhancing performance and mimicking human hand kinematics.
Findings
Achieved lightweight design weighing 1.4kg.
Demonstrated high dexterity and robust grasping in experiments.
Reduced actuator count compared to traditional tendon-driven systems.
Abstract
In robotic hand research, minimizing the number of actuators while maintaining human-hand-consistent dimensions and degrees of freedom constitutes a fundamental challenge. Drawing bio-inspiration from human hand kinematic configurations and muscle distribution strategies, this work proposes a novel 15-DoF dexterous robotic hand, with detailed analysis of its mechanical architecture, electrical system, and control system. The bionic hand employs a new tendon-driven mechanism, significantly reducing the number of motors required by traditional tendon-driven systems while enhancing motion performance and simplifying the mechanical structure. This design integrates five motors in the forearm to provide strong gripping force, while ten small motors are installed in the palm to support fine manipulation tasks. Additionally, a corresponding joint sensing and motor driving electrical system was…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRobot Manipulation and Learning · Soft Robotics and Applications · Muscle activation and electromyography studies
