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.
Collaborative planar pushing of polytopic objects with multiple robots in complex scenes,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
R2P2 assigns roles to robots for collaborative box pushing on varied terrains using decentralized rules and proportional control, showing higher success than leader-follower in simulations and working on physical robots.
citing papers explorer
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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.
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Multi-Robot Box Transport over Different Surfaces with Decentralized Role-based Proportional Control
R2P2 assigns roles to robots for collaborative box pushing on varied terrains using decentralized rules and proportional control, showing higher success than leader-follower in simulations and working on physical robots.