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Aero Hand Open: A Simulation-Ready Tendon-Driven Hand for Dexterous Manipulation Learning

Paper recorded by Signals 4 on 2026-08-28 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-28 on arXiv · recorded by Signals 4 on 2026-08-31

Category: cs.AI · 人工智能 · first seen 2026-08-31

Abstract

Tendon-driven hands are anthropomorphic, and moving the actuators off the joints is what makes a hand of this capability affordable to build. Two effects produce that saving. Routing force through a cable removes the requirement that a motor fit inside the joint it drives, so smaller and cheaper motors suffice, and one motor can drive several joints through a single cable, so fewer motors are need

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#281 most recent of 300 cs.AI papers we have recorded · ↑ newer: The Emergent Symbolic Structure of Artificial Neural Networks · ↓ older: Learning a Size-Weight Frontier for Synthetic-Augmented Inference
Cite this page: Aero Hand Open: A Simulation-Ready Tendon-Driven Hand for Dexterous Manipulation Learning: the #281 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/aero-hand-open-a-simulation-ready-tendon-driven-hand-for-dexterous-manipulation-.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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