43 citations · 72 across the 15 of their papers we have counts for
6 papers · 1 filter
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…
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…
Hypergraph-based Multi-Robot Task and Motion Planning
James Motes, Tan Chen, Timothy Bretl +2
We present a multi-robot task and motion planning method that, when applied to the rearrangement of objects by manipulators, results in solution times up to three orders of magnitu…
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…
Discrete State-Action Abstraction via the Successor Representation
Amnon Attali, Pedro Cisneros-Velarde, Marco Morales +1
While the difficulty of reinforcement learning problems is typically related to the complexity of their state spaces, Abstraction proposes that solutions often lie in simpler under…
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…