LAMP couples learned short-horizon multi-robot pushing with A* and lazy D* Lite search so object paths stay robot-feasible in dense clutter and replan under drift.
Multi-agent manipulation via locomotion using hierarchical sim2real
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 2representative citing papers
Abstract simulators can be grounded to real tasks by making their dynamics history-dependent and correcting them with real data, enabling RL policy transfer.
citing papers explorer
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LAMP: Long-Horizon Adaptive Manipulation Planning for Multi-Robot Collaboration in Cluttered Space
LAMP couples learned short-horizon multi-robot pushing with A* and lazy D* Lite search so object paths stay robot-feasible in dense clutter and replan under drift.
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Abstract Sim2Real through Approximate Information States
Abstract simulators can be grounded to real tasks by making their dynamics history-dependent and correcting them with real data, enabling RL policy transfer.