From Perception to Assistance: Open-Vocabulary Shared Autonomy for Robotic Manipulation
Teleoperating a robotic manipulator in industrial environments demands precision that camera-based interfaces alone struggle to deliver. The operator must align the end-effector with a target in clutter, under limited depth perception, and without colliding with the surrounding structures. This paper presents a shared-autonomy framework that assists the operator throughout this process. A single RGB-D camera captures the operator's arm motion and hand gestures without wearables, fiducials, or a
Record details
Published: 19 July 2026
Source: arXiv cs.HC
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 21 July 2026
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How to cite this record
ethics.ai (19 July 2026), “From Perception to Assistance: Open-Vocabulary Shared Autonomy for Robotic Manipulation,” evidence record 12229, https://ethics.ai/record/12229 (originally published by arXiv cs.HC).
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