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DuoMind: Enabling Distributed Multi-Robot Coordination with Semantic Communication

Paper recorded by Signals 4 on 2026-10-01 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-01 on arXiv · recorded by Signals 4 on 2026-10-02

Category: cs.AI · 人工智能 · first seen 2026-10-02

Abstract

Vision-language models (VLMs) and vision-language-action models (VLAs) have recently driven rapid progress in general-purpose robots, yet most progress has focused on single-robot settings. Extending these capabilities to multi-robot systems remains challenging because robots must coordinate long-horizon behaviors while maintaining reliable, fine-grained execution. We introduce DuoMind, a distribu

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#14 most recent of 500 cs.AI papers we have recorded · ↑ newer: Watch, Infer, Coordinate: Inferring Robot Partner Constraints for Zero · ↓ older: From Knowledge Access to Source Learning: Developing Source-Specific C
Cite this page: DuoMind: Enabling Distributed Multi-Robot Coordination with Semantic Communication: the #14 most recent of 500 cs.AI papers we have recorded (as of 2026-10-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/duomind-enabling-distributed-multi-robot-coordination-with-semantic-communicatio.html
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