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.
What the source reports
Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
What remains unknown
Not established in the collected evidence: Environment, Control, Data origin.
Reported performance applies to the described task. It does not establish general autonomy or deployment readiness.
Source excerpts and review record
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LAMP helps multiple robots collaborate to move objects.
Open source E1
The system enables the robots to navigate crowded spaces and coordinate their movements.
Open source E2
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.
Open source E3
LAMP combines learned models of how an object can be moved locally with search-based planning to find a path through the environment.
Open source E4
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.
Open source E5
In testing, LAMP successfully completed multistep activities with sequential, interdependent actions that had challenged previous approaches.
Open source E6
Implications for data suppliers
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Source：Carnegie Mellon Robotics Institute — News · ri.cmu.edu