Rotograb: Combining Biomimetic Hands with Industrial Grippers using a Rotating Thumb
Arnaud Bersier, Matteo Leonforte, Alessio Vanetta, Sarah Lia Andrea, Wotke, Andrea Nappi, Yifan Zhou, Sebastiano Oliani, Alexander M. K\"ubler,, and Robert K. Katzschmann

TL;DR
Rotograb is a robotic hand with a rotating thumb that enhances dexterity and workspace, combining biomimetic design with industrial efficiency through innovative joint design and reinforcement learning-based control.
Contribution
Introduces a novel tendon-actuated robotic hand with a rotating thumb, improving manipulation capabilities and integrating teleoperation with autonomous learning.
Findings
Significantly increased workspace and versatility.
Effective handling of diverse objects from the YCB dataset.
Enhanced in-hand manipulation and object rotation capabilities.
Abstract
The development of robotic grippers and hands for automation aims to emulate human dexterity without sacrificing the efficiency of industrial grippers. This study introduces Rotograb, a tendon-actuated robotic hand featuring a novel rotating thumb. The aim is to combine the dexterity of human hands with the efficiency of industrial grippers. The rotating thumb enlarges the workspace and allows in-hand manipulation. A novel joint design minimizes movement interference and simplifies kinematics, using a cutout for tendon routing. We integrate teleoperation, using a depth camera for real-time tracking and autonomous manipulation powered by reinforcement learning with proximal policy optimization. Experimental evaluations demonstrate that Rotograb's rotating thumb greatly improves both operational versatility and workspace. It can handle various grasping and manipulation tasks with objects…
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Taxonomy
TopicsInteractive and Immersive Displays · Robot Manipulation and Learning · Hand Gesture Recognition Systems
