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Pushing Dexterity and Safety for In-Hand Object Pose Reaching That Works Remarkably Well

Paper recorded by Signals 4 on 2026-10-27 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-27 on arXiv · recorded by Signals 4 on 2026-10-28

Category: cs.LG · 机器学习 · first seen 2026-10-28

Abstract

Dexterous manipulation with multi-fingered hands is the next frontier of robotics, yet learned hand skills remain limited to simple grasps or basic repeated motions, such as rotating an object. As robots attempt more demanding in-hand maneuvers, safety, such as not dropping the object, becomes critical, yet it is rarely measured. We study in-hand object pose reaching, a task that demands diverse a

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#139 most recent of 737 cs.LG papers we have recorded · ↑ newer: Heads of Security: Learned Attention Gates Improve Prompt Injection Ro · ↓ older: Scaling Laws for Tool-Use Agents via Controllable Environment Synthesi
Cite this page: Pushing Dexterity and Safety for In-Hand Object Pose Reaching That Works Remarkably Well: the #139 most recent of 737 cs.LG papers we have recorded (as of 2026-10-27). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/pushing-dexterity-and-safety-for-in-hand-object-pose-reaching-that-works-remarka.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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