Evelyn D'Elia received her B.S. degree in Mechanical Engineering in 2019 from Northeastern University in Boston, and her M.S. in Systems and Control in 2021 from Delft University of Technology in the Netherlands. She completed her thesis, "Automatic Controller Selection on a Humanoid Robot using Optimization Techniques", at the LARSEN lab at INRIA Nancy - Grand Est, France. She started working as a research fellow in the Artificial and Mechanical Intelligence (AMI) lab at IIT in 2022, and since 2023 has been completing her PhD on physics informed learning for legged robot policies. In particular she has focused on symmetry priors and Koopman modeling applied to RL. She has continued her research on this topic with SAIL since January 2026.
Research center
CHT@Erzelli
Biografia
All Publications
2026
D'Elia E., Zhan W., Turrisi G., Romualdi G., L'Erario G., Camoriano R., Pan W., Pucci D.
SKooP: Symmetric Koopman Predictions for Faster and More Generalizable Legged Robot Locomotion with Reinforcement Learning
The 2026 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2026)
Conference Paper
Conference
2025
D'elia E., Viceconte P.M., Rapetti L., Ferigo D., Romualdi G., L'erario G., Camoriano R., Pucci D.
Stabilizing Humanoid Robot Trajectory Generation via Physics-Informed Learning and Control-Informed Steering
IEEE International Conference on Intelligent Robots and Systems, pp. 4781-4788
2022
D'Elia E., Mouret J.-B., Kober J., Ivaldi S.
Automatic Tuning and Selection of Whole-Body Controllers
The 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)
Colleagues of SAIL: Sustainable Artificial Intelligence and Learning
