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20192024
most citedAnnotated-skeleton Biased Motion Planning for Faster Relevant Region Discovery

2 citations · 4 across the 4 of their papers we have counts for

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9 papers · 1 filter

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…

cs.RO2023

Adaptive Robot Coordination: A Subproblem-based Approach for Hybrid Multi-Robot Motion Planning

Irving Solis, James Motes, Mike Qin +2

This work presents Adaptive Robot Coordination (ARC), a novel hybrid framework for multi-robot motion planning (MRMP) that employs local subproblems to resolve inter-robot conflict…

cs.RO2023

Scalable Multi-Robot Motion Planning Using Workspace Guidance-Informed Hypergraphs

Courtney McBeth, James Motes, Isaac Ngui +2

In this work, we propose a method for multiple mobile robot motion planning that efficiently plans for robot teams up to 128 robots (an order of magnitude larger than existing stat…

cs.RO2023

HAS-RRT: RRT-based Motion Planning using Topological Guidance

Diane Uwacu, Ananya Yammanuru, Keerthana Nallamotu +3

We present a hierarchical RRT-based motion planning strategy, Hierarchical Annotated-Skeleton Guided RRT (HAS-RRT), guided by a workspace skeleton, to solve motion planning problem…

cs.RO20222 cited

Evaluating Guiding Spaces for Motion Planning

Amnon Attali, Stav Ashur, Isaac Burton Love +5

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…