activity
20162023
most citedScalable Multi-robot Motion Planning for Congested Environments With Topological Guidance

16 citations · 21 across the 6 of their papers we have counts for

collaborators

6 papers

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.RO2022★ 2 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…

cs.RO2022★ 16 cited

Scalable Multi-robot Motion Planning for Congested Environments With Topological Guidance

Courtney McBeth, James Motes, Diane Uwacu +2

Multi-robot motion planning (MRMP) is the problem of finding collision-free paths for a set of robots in a continuous state space. The difficulty of MRMP increases with the number…

cs.RO2022

Hierarchical Planning with Annotated Skeleton Guidance

Diane Uwacu, Ananya Yammanuru, Marco Morales +1

We present a hierarchical skeleton-guided motion planning algorithm to guide mobile robots. A good skeleton maps the connectivity of the subspace of c-space containing significant…

cs.RO2020★ 2 cited

Annotated-skeleton Biased Motion Planning for Faster Relevant Region Discovery

Diane Uwacu, Regina Rex, Bonnie Wang +2

Motion planning algorithms often leverage topological information about the environment to improve planner performance. However, these methods often focus only on the environment's…

cs.RO2016★ 1 cited

Proceedings of the 1st International Workshop on Robot Learning and Planning (RLP 2016)

Nancy Amato, Charles Anderson, Gregory Chirikjian +13

Proceedings of the 1st International Workshop on Robot Learning and Planning (RLP 2016)