1 citations · 2 across the 4 of their papers we have counts for
4 papers
Multi-Agent Path Finding Using Conflict-Based Search and Structural-Semantic Topometric Maps
Scott Fredriksson, Yifan Bai, Akshit Saradagi +1
As industries increasingly adopt large robotic fleets, there is a pressing need for computationally efficient, practical, and optimal conflict-free path planning for multiple robot…
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…
Investigating the Impact of Communication-Induced Action Space on Exploration of Unknown Environments with Decentralized Multi-Agent Reinforcement Learning
Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis +1
This paper introduces a novel enhancement to the Decentralized Multi-Agent Reinforcement Learning (D-MARL) exploration by proposing communication-induced action space to improve th…
Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search
Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis +1
Collaborative multi-agent exploration of unknown environments is crucial for search and rescue operations. Effective real-world deployment must address challenges such as limited i…