Tactile SoftHand-A: 3D-Printed, Tactile, Highly-underactuated, Anthropomorphic Robot Hand with an Antagonistic Tendon Mechanism
Haoran Li, Christopher J. Ford, Chenghua Lu, Yijiong Lin, Matteo Bianchi, Manuel G. Catalano, Efi Psomopoulou, Nathan F. Lepora

TL;DR
This paper introduces the Tactile SoftHand-A, a 3D-printed, highly-underactuated robotic hand with tactile sensors and an antagonistic mechanism, enabling adaptive grasping, manipulation, and reactivity with minimal actuators, inspired by human hand functionality.
Contribution
The paper presents a novel 3D-printed, tactile, underactuated robotic hand with an antagonistic tendon mechanism and integrated tactile sensors, enhancing grasping adaptability and control.
Findings
Improved reactivity and load-bearing capabilities.
Effective manipulation with minimal actuators.
Successful teleoperation using tactile feedback.
Abstract
A challenging and important problem for tendon-driven multi-fingered robotic hands is to ensure grasping adaptivity while minimizing the number of actuators needed to provide human-like functionality. Inspired by the Pisa/IIT SoftHand, this paper introduces a 3D-printed, highly-underactuated, tactile-sensorized, five-finger robotic hand named the Tactile SoftHand-A, which features an antagonistic mechanism to actively open and close the hand. Our proposed dual-tendon design gives options that allow active control of specific (distal or proximal interphalangeal) joints; for example, to adjust from an enclosing to fingertip grasp or to manipulate an object with a fingertip. We also develop and integrate a new design of fully 3D-printed vision-based tactile sensor within the fingers that requires minimal hand assembly. A control scheme based on analytically extracting contact location and…
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Taxonomy
TopicsAdvanced Materials and Mechanics · Modular Robots and Swarm Intelligence · Advanced Sensor and Energy Harvesting Materials
