Tootfinder

Online Concurrent Multi-Robot Coverage Path Planning
Ratijit Mitra, Indranil Saha
https://arxiv.org/abs/2403.10460 https://arxiv.org/…

Online Concurrent Multi-Robot Coverage Path Planning
Recently, centralized receding horizon online multi-robot coverage path planning algorithms have shown remarkable scalability in thoroughly exploring large, complex, unknown workspaces with many robots. In a horizon, the path planning and the path execution interleave, meaning when the path planning occurs for robots with no paths, the robots with outstanding paths do not execute, and subsequently, when the robots with new or outstanding paths execute to reach respective goals, path planning do…

This https://arxiv.org/abs/2403.09900 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

DTG : Diffusion-based Trajectory Generation for Mapless Global Navigation
We present a novel end-to-end diffusion-based trajectory generation method, DTG, for mapless global navigation in challenging outdoor scenarios with occlusions and unstructured off-road features like grass, buildings, bushes, etc. Given a distant goal, our approach computes a trajectory that satisfies the following goals: (1) minimize the travel distance to the goal; (2) maximize the traversability by choosing paths that do not lie in undesirable areas. Specifically, we present a novel Conditio…