Scholar
Fuda van Diggelen
Google Scholar ID: Xn9iFKsAAAAJ
Postdoctoral Researcher, École Polytechnique Fédérale de Lausanne
Citations & Impact
Citations
235
H-index
9
i10-index
8
Publications
20
Co-authors
18
list available
Publications
Resume (English only)
Academic Achievements
- Published work on the emergence of specialized collective behaviors in evolving heterogeneous swarms; developed a model-free method enabling robots to learn multiple skills in parallel within 15 minutes, published in Nature Communications; contributed to the Dutch ICU Data Warehouse project, providing analysis tools and machine learning models to improve healthcare policies; during PhD, worked primarily in Python and C++ as part of the team developing Revolve, a software package for robot evolution experiments around different simulators (MuJoCo, Gazebo, Isaac Gym).
Research Experience
- Currently a Postdoctoral fellow at the Laboratory of Intelligent Systems (LIS) at École Polytechnique Fédérale de Lausanne (EPFL), supervised by Dario Floreano. Research focuses on designing continuous adaptive neural networks for distributed learning in swarms, particularly on the robust emergence of collective behavior using only local information.
Education
- PhD in 2024 on the topic of robot learning in Evolutionary Robotics from Vrije Universiteit Amsterdam, supported by Technology Innovation Institute (TII), under the supervision of Guszti Eiben and Eliseo Ferrante. Prior to this, obtained two master's degrees: Human Movement Science, neuromechanics (cum laude, Vrije Universiteit Amsterdam) and Mechanical Engineering, bio-robotics (Technische Universiteit Delft).
Background
- Research interests lie at the intersection of robotics and AI, with a focus on designing robot learning algorithms for emergent properties in swarms of robots. Specializes in robot learning, embodied intelligence, complex systems, and control theory.
Miscellany
- Enjoys aligning different techniques by combining ideas from a broad educational background, offering a creative perspective to analyze challenging problems.
