36 citations · 69 across the 56 of their papers we have counts for
35 papers · 1 filter
Varying Bundle Size Reactive Multi-Task Assignment using Selective Cost Estimation for Multi-Agent Systems
Niklas Dahlquist, Shridhar Velhal, George Nikolakopoulos
This paper presents a scalable framework for multi-robot task allocation in complex environments where estimating task execution costs is computationally expensive. While combinato…
Real-World Deployment of a 5G-Connected Edge-Controlled Aerial Robot in Industrial Subterranean Mines
Achilleas Santi Seisa, Emanuele Pagliari, Gerasimos Damigos +2
This article presents the first real-world autonomous flight of a 5G-connected aerial robot controlled by an edge-offloaded controller, and aims to bridge the gap between controlle…
How IMU Drift Influences Multi-Radar Inertial Odometry for Ground Robots in Subterranean Terrains
Moumita Mukherjee, Magnus Norén, Anton Koval +2
Reliable radar inertial odometry (RIO) requires mitigating IMU bias drift, a challenge that intensifies in subterranean environments due to extreme temperatures and gravity-induced…
Role-Adaptive Collaborative Formation Planning for Team of Quadruped Robots in Cluttered Environments
Magnus Norén, Marios-Nektarios Stamatopoulos, Avijit Banerjee +1
This paper presents a role-adaptive Leader-Follower-based formation planning and control framework for teams of quadruped robots operating in cluttered environments. Unlike convent…
Safe Heterogeneous Multi-Agent RL with Communication Regularization for Coordinated Target Acquisition
Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis +1
This paper introduces a decentralized multi-agent reinforcement learning framework enabling structurally heterogeneous teams of agents to jointly discover and acquire randomly loca…
Planetary Terrain Datasets and Benchmarks for Rover Path Planning
Marvin Chancán, Avijit Banerjee, George Nikolakopoulos
Planetary rover exploration is attracting renewed interest with several upcoming space missions to the Moon and Mars. However, a substantial amount of data from prior missions rema…