- SADCHER: Scheduling using Attention-based Dynamic Coalitions of Heterogeneous Robots in Real-Time
- Decentralized Aerial Manipulation of a Cable-Suspended Load Using Multi-Agent Reinforcement Learning
- Linear Temporal Logic (LTL) Planner for Agricultural Robotics
- Scalable Multi-Agent Reinforcement Learning for Collision Avoidance
- ALPHA, a high altitude UAV
Awards:
- Best Poster Award at IROS 2025: Decentralized Aerial Manipulation of Cable-Suspended Load Using Multi-Agent RL
Research Experience
Before coming to Delft, worked as a research engineer at KTH for Professor Dimos Dimarogonas’s group.
Education
PhD candidate: Department of Cognitive Robotics (CoR), TU Delft, Netherlands, supervised by Professors Javier Alonso-Mora and Christian Pek; Master's degree: KTH Royal Institute of Technology, Sweden; Bachelor's degree: Aerospace Engineering, Universitat Politècnica de València, Spain.
Background
Research interests: Task and motion planning in multi-agent systems, accounting for interaction and cooperation between other agents and humans. Field of expertise: Robotics.