LAMP Helps Robots Find a Way Through
LAMP Helps Robots Find a Way Through
Carnegie Mellon University researchers have developed LAMP, a system that allows multiple robots to work together to move objects through crowded spaces. LAMP combines learned models with search-based planning to enable efficient navigation and coordination, with successful testing in complex environments and a demonstration at the 2026 IROS conference.
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The paper introduces LAMP, a system that enables multiple robots to collaborate in moving objects through cluttered spaces. It combines learned models with search-based planning to address coordination challenges in multirobot manipulation, with demonstrated success in complex environments like warehouses and during a conference demonstration.
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Source excerpts and review record
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Original source quotation: “LAMP helps multiple robots collaborate to move objects.”
Source E1
Original source quotation: “The system enables the robots to navigate crowded spaces and coordinate their movements.”
Source E2
Original source quotation: “Long-Horizon Adaptive Manipulation Planning (LAMP) helps robots plan not only where an object needs to go, but also how they can work together to get it there.”
Source E3
Original source quotation: “LAMP combines learned models of how an object can be moved locally with search-based planning to find a path through the environment.”
Source E4
Original source quotation: “The researchers also tested the system in increasingly crowded environments, including a demonstration that spelled out the name of the conference where the work will be presented.”
Source E5
Original source quotation: “In testing, LAMP successfully completed multistep activities with sequential, interdependent actions that had challenged previous approaches.”
Source E6
Source：Carnegie Mellon Robotics Institute — News · ri.cmu.edu