6 papers
Do LLMs Beat Nash? Testing Decentralized Coordination in Self-Play Multi-Agent Games
Deborah Sinishaw, Qile Zhu, Edwin Meriaux +1
Large language model agents deployed without a central controller are often assumed to require communication to coordinate their actions. We ask what remains possible without it: w…
Scalable Aerial GNSS Localization for Marine Robots
Shuo Wen, Edwin Meriaux, Mariana Sosa Guzmán +4
Accurate localization is crucial for water robotics, yet traditional onboard Global Navigation Satellite System (GNSS) approaches are difficult or ineffective due to signal reflect…
Stable Multi-Drone GNSS Tracking System for Marine Robots
Shuo Wen, Edwin Meriaux, Mariana Sosa Guzmán +3
Stable and accurate tracking is essential for marine robotics, yet Global Navigation Satellite System (GNSS) signals vanish immediately below the sea surface. Traditional alternati…
AMP2026: A Multi-Platform Marine Robotics Dataset for Tracking and Mapping
Edwin Meriaux, Shuo Wen, David Widhalm +11
Marine environments present significant challenges for perception and autonomy due to dynamic surfaces, limited visibility, and complex interactions between aerial, surface, and su…
On Mobile Ad Hoc Networks for Coverage of Partially Observable Worlds
Edwin Meriaux, Shuo Wen, Louis-Roy Langevin +3
This paper addresses the movement and placement of mobile agents to establish a communication network in initially unknown environments. We cast the problem in a computational-geom…
Decentralized Multi-Agent Goal Assignment for Path Planning using Large Language Models
Murad Ismayilov, Edwin Meriaux, Shuo Wen +1
Coordinating multiple autonomous agents in shared environments under decentralized conditions is a long-standing challenge in robotics and artificial intelligence. This work addres…