ISyHand: A Dexterous Multi-finger Robot Hand with an Articulated Palm

2025-09-30

AI Summary

Low-cost dexterous robotic hands often struggle to balance dexterity and anthropomorphism. Method: This paper proposes a multi-fingered robotic hand featuring an actively actuated, movable palm structure. It employs Dynamixel servo motors, standard fasteners, and 3D-printed components to achieve low cost, ease of fabrication, and moderate biomimicry; the movable palm enhances operational dexterity at a minor compromise in morphological anthropomorphism. Contribution/Results: A reinforcement learning policy trained in simulation is successfully transferred to the physical platform. In cube reorientation tasks, the hand outperforms comparable low-cost hands and a fixed-palm baseline. Systematic experiments demonstrate superior performance even during early training stages. This work establishes a reproducible, scalable design paradigm and deployment framework for low-cost, high-dexterity robotic hands.

Technology Category

• Intelligent Robots: Manipulation
• Computer Vision: Low Level & Physics-based Vision
• Machine Learning: Imitation Learning & Inverse Reinforcement Learning

Application Category

• Economics, Online Markets and Human Computation: Cost models of using LLMs in production systems
• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Search and Retrieval-Augmented AI: Web learning to rank, online learning, and counterfactual learning for ranking

Abstract

The rapid increase in the development of humanoid robots and customized manufacturing solutions has brought dexterous manipulation to the forefront of modern robotics. Over the past decade, several expensive dexterous hands have come to market, but advances in hardware design, particularly in servo motors and 3D printing, have recently facilitated an explosion of cheaper open-source hands. Most hands are anthropomorphic to allow use of standard human tools, and attempts to increase dexterity often sacrifice anthropomorphism. We introduce the open-source ISyHand (pronounced easy-hand), a highly dexterous, low-cost, easy-to-manufacture, on-joint servo-driven robot hand. Our hand uses off-the-shelf Dynamixel motors, fasteners, and 3D-printed parts, can be assembled within four hours, and has a total material cost of about 1,300 USD. The ISyHands's unique articulated-palm design increases overall dexterity with only a modest sacrifice in anthropomorphism. To demonstrate the utility of the articulated palm, we use reinforcement learning in simulation to train the hand to perform a classical in-hand manipulation task: cube reorientation. Our novel, systematic experiments show that the simulated ISyHand outperforms the two most comparable hands in early training phases, that all three perform similarly well after policy convergence, and that the ISyHand significantly outperforms a fixed-palm version of its own design. Additionally, we deploy a policy trained on cube reorientation on the real hand, demonstrating its ability to perform real-world dexterous manipulation.

Problem

• Developing a low-cost dexterous robot hand with articulated palm
• Enhancing manipulation capabilities while maintaining anthropomorphic design
• Demonstrating improved performance in simulated and real-world tasks

Innovation

• Articulated palm design enhances dexterity
• Uses off-the-shelf Dynamixel motors and 3D printing
• Reinforcement learning trains hand for manipulation tasks