CHORUS adapts a single VLA backbone for decentralized control of diverse robot teams, achieving 64-point gains over from-scratch decentralized baselines and outperforming centralized methods in real-world tasks using only local observations.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
LAMP combines a learned generative manipulation model with LAMPA* systematic search and LAMP-Lazy deferred-evaluation planning to solve long-horizon multi-robot tasks in cluttered environments that prior methods cannot handle.
citing papers explorer
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CHORUS: Decentralized Multi-Embodiment Collaboration with One VLA Policy
CHORUS adapts a single VLA backbone for decentralized control of diverse robot teams, achieving 64-point gains over from-scratch decentralized baselines and outperforming centralized methods in real-world tasks using only local observations.
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LAMP: Long-Horizon Adaptive Manipulation Planning for Multi-Robot Collaboration in Cluttered Space
LAMP combines a learned generative manipulation model with LAMPA* systematic search and LAMP-Lazy deferred-evaluation planning to solve long-horizon multi-robot tasks in cluttered environments that prior methods cannot handle.