Pixel: A Co-Designed Full-Stack Robot System for Learning General-Purpose Mobile Manipulation
Paper recorded by Signals 4 on 2026-11-02 in cs.AI. Abstract reproduced from arXiv; link to the original below.
Published 2026-11-02 on arXiv · recorded by Signals 4 on 2026-11-03
Category: cs.AI · 人工智能 · first seen 2026-11-03
Abstract
General-purpose mobile manipulation requires a combination of capable robot hardware, scalable demonstration collection, expressive whole-body control, and effective policy learning. Yet these components are often developed independently, creating mismatches that limit the capabilities of the complete system. We present Pixel, a co-designed full-stack system for learning general-purpose mobile man
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Cite this page: Pixel: A Co-Designed Full-Stack Robot System for Learning General-Purpose Mobile Manipulation: the #21 most recent of 920 cs.AI papers we have recorded (as of 2026-11-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/pixel-a-co-designed-full-stack-robot-system-for-learning-general-purpose-mobile-.html
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