3 papers
cs.RO2026
Controlling Collectives of AI Agents in Reasoning Space with Spatial Transformers
Frederic Vatnsdal, Roshan Gopal, Romina Garcia Camargo +2
Large Language Models (LLMs) introduce an exciting new paradigm for planning and navigation in robotics, but fail on even simple multi-robot tasks as team sizes grow. We propose CO…
cs.RO2025
MAST: Multi-Agent Spatial Transformer for Learning to Collaborate
Damian Owerko, Frederic Vatnsdal, Saurav Agarwal +2
This article presents a novel multi-agent spatial transformer (MAST) for learning communication policies in large-scale decentralized and collaborative multi-robot systems (DC-MRS)…
cs.RO2025
Scalable Multi Agent Diffusion Policies for Coverage Control
Frederic Vatnsdal, Romina Garcia Camargo, Saurav Agarwal +1
We propose MADP, a novel diffusion-model-based approach for collaboration in decentralized robot swarms. MADP leverages diffusion models to generate samples from complex and high-d…