activity
20192022
most citedAnnotated-skeleton Biased Motion Planning for Faster Relevant Region Discovery

2 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

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.RO20202 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.RO2019

Representation-Optimal Multi-Robot Motion Planning using Conflict-Based Search

Irving Solis, Read Sandström, James Motes +1

Multi-Agent Motion Planning (MAMP) is the problem of computing feasible paths for a set of agents given individual start and goal states. Given the hardness of MAMP, most of the re…

physics.comp-ph2019

Provably Optimal Parallel Transport Sweeps on Semi-Structured Grids

Michael P. Adams, Marvin L. Adams, W. Daryl Hawkins +7

We have found provably optimal algorithms for full-domain discrete-ordinate transport sweeps on a class of grids in 2D and 3D Cartesian geometry that are regular at a coarse level…