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20232026
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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…

cs.RO2024

SPITE: Simple Polyhedral Intersection Techniques for modified Environments

Stav Ashur, Maria Lusardi, Marta Markowicz +4

Motion planning in modified environments is a challenging task, as it compounds the innate difficulty of the motion planning problem with a changing environment. This renders some…

cs.RO2024

A Framework for Guided Motion Planning

Amnon Attali, Stav Ashur, Isaac Burton Love +4

Randomized sampling based algorithms are widely used in robot motion planning due to the problem's intractability, and are experimentally effective on a wide range of problem insta…