← All people
Eduardo works on the development of multi-robot decision-making systems driven by high-level task instructions. Specifically, he is interested in distributed algorithms that allow task decomposition, collective adaptation and seamless integration of the multi-robot system into the environment.
Publications
- Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning NeurIPS 2026 2026
- Prompting Robot Teams with Natural Language IEEE Robotics and Automation Letters 2026
- World-Task Factorization for Robot Learning arXiv preprint 2026