14 citations · 16 across the 11 of their papers we have counts for
5 papers · 1 filter
Search-Based Spatiotemporal and Multi-Robot Motion Planning on Graphs of Space-Time Convex Sets
Jingtao Tang, Zining Mao, Lufan Yang +1
Spatiotemporal motion planning, especially in multi-robot settings, requires robots to reason about collision-free regions that change over time, which is challenging in continuous…
Space-Time Graphs of Convex Sets for Multi-Robot Motion Planning
Jingtao Tang, Zining Mao, Lufan Yang +1
We address the Multi-Robot Motion Planning (MRMP) problem of computing collision-free trajectories for multiple robots in shared continuous environments. While existing frameworks…
Large-Scale Multirobot Coverage Path Planning on Grids With Path Deconfliction
Jingtao Tang, Zining Mao, Hang Ma
We study Multi-Robot Coverage Path Planning (MCPP) on a 4-neighbor 2D grid G, which aims to compute paths for multiple robots to cover all cells of G. Traditional approaches are li…
MFC-EQ: Mean-Field Control with Envelope Q-Learning for Moving Decentralized Agents in Formation
Qiushi Lin, Hang Ma
We study a decentralized version of Moving Agents in Formation (MAiF), a variant of Multi-Agent Path Finding aiming to plan collision-free paths for multiple agents with the dual o…
Large-Scale Multi-Robot Coverage Path Planning via Local Search
Jingtao Tang, Hang Ma
We study graph-based Multi-Robot Coverage Path Planning (MCPP) that aims to compute coverage paths for multiple robots to cover all vertices of a given 2D grid terrain graph . E…