3 papers
cs.RO2025
A Time-dependent Risk-aware distributed Multi-Agent Path Finder based on A*
S Nordström, Y Bai, B Lindqvist +1
Multi-Agent Path-Finding (MAPF) focuses on the collaborative planning of paths for multiple agents within shared spaces, aiming for collision-free navigation. Conventional planning…
cs.RO2025
An Addendum to NeBula: Towards Extending TEAM CoSTAR's Solution to Larger Scale Environments
Ali Agha, Kyohei Otsu, Benjamin Morrell +86
This paper presents an appendix to the original NeBula autonomy solution developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots), participating in the DARPA Sub…
cs.RO2025
Deployment of an Aerial Multi-agent System for Automated Task Execution in Large-scale Underground Mining Environments
Niklas Dahlquist, Samuel Nordström, Nikolaos Stathoulopoulos +3
In this article, we present a framework for deploying an aerial multi-agent system in large-scale subterranean environments with minimal infrastructure for supporting multi-agent o…