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20212023
most citedEvaluating Guiding Spaces for Motion Planning

2 citations · 2 across the 3 of their papers we have counts for

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5 papers · 1 filter

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…

cs.RO2022

Insights from an Industrial Collaborative Assembly Project: Lessons in Research and Collaboration

Tan Chen, Zhe Huang, James Motes +13

Significant progress in robotics reveals new opportunities to advance manufacturing. Next-generation industrial automation will require both integration of distinct robotic technol…

cs.RO2021

Persistent Covering of a Graph under Latency and Energy Constraints

Jyh-Ming Lien, Sam Rodriguez, Marco Morales

Most consumer-level low-cost unmanned aerial vehicles (UAVs) have limited battery power and long charging time. Due to these energy constraints, they cannot accomplish many practic…