16 citations · 24 across the 21 of their papers we have counts for
5 papers · 1 filter
An Analysis of Constraint-Based Multi-Agent Pathfinding Algorithms
Hannah Lee, James D. Motes, Marco Morales +1
This study informs the design of future multi-agent pathfinding (MAPF) and multi-robot motion planning (MRMP) algorithms by guiding choices based on constraint classification for c…
ERUPT: An Open Toolkit for Interfacing with Robot Motion Planners in Extended Reality
Isaac Ngui, Courtney McBeth, André Santos +6
We present the Extended Reality Universal Planning Toolkit (ERUPT), an extended reality (XR) system for interactive motion planning. This paper serves to introduce our open-source…
PRISM: Complete Online Decentralized Multi-Agent Pathfinding with Rapid Information Sharing using Motion Constraints
Hannah Lee, Zachary Serlin, James Motes +3
We introduce PRISM (Pathfinding with Rapid Information Sharing using Motion Constraints), a decentralized algorithm designed to address the multi-task multi-agent pathfinding (MT-M…
Lazy-DaSH: Lazy Approach for Hypergraph-based Multi-robot Task and Motion Planning
Seongwon Lee, James Motes, Isaac Ngui +2
We introduce Lazy-DaSH, an improvement over the recent state of the art multi-robot task and motion planning method DaSH, which scales to more than double the number of robots and…
K-ARC: Adaptive Robot Coordination for Multi-Robot Kinodynamic Planning
Mike Qin, Irving Solis, James Motes +2
This work presents Kinodynamic Adaptive Robot Coordination (K-ARC), a novel algorithm for multi-robot kinodynamic planning. Our experimental results show the capability of K-ARC to…