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cs.RO2024
Experience-based Subproblem Planning for Multi-Robot Motion Planning
Irving Solis, James Motes, Mike Qin +2
Multi-robot systems enhance efficiency and productivity across various applications, from manufacturing to surveillance. While single-robot motion planning has improved by using da…
cs.RO2024
Extended Reality System for Robotic Learning from Human Demonstration
Isaac Ngui, Courtney McBeth, Grace He +4
Many real-world tasks are intuitive for a human to perform, but difficult to encode algorithmically when utilizing a robot to perform the tasks. In these scenarios, robotic systems…
cs.RO2024
Encoding Reusable Multi-Robot Planning Strategies as Abstract Hypergraphs
Khen Elimelech, James Motes, Marco Morales +3
Multi-Robot Task Planning (MR-TP) is the search for a discrete-action plan a team of robots should take to complete a task. The complexity of such problems scales exponentially wit…