Publications
2025
Geometric Neural Ordinary Differential Equations: From Manifolds to Lie Groups (2025)Entropy, 27(8). Article 878. Wotte, Y. P., Califano, F. & Stramigioli, S.https://doi.org/10.3390/e27080878Learning Passive Policies (2025)In European Robotics Forum 2024 - 15th ERF (pp. 338-343) (Springer Proceedings in Advanced Robotics; Vol. 32 SPAR). Springer. Zanella, R., Califano, F., Secchi, C. & Stramigioli, S.https://doi.org/10.1007/978-3-031-76424-0_60Limiting Kinetic Energy Through Control Barrier Functions: Analysis and Experimental Validation (2025)IEEE Robotics and automation letters, 10(7), 7595-7602. Califano, F., Logmans, D. & Roozing, W.https://doi.org/10.1109/LRA.2025.3578847
2024
Optimal potential shaping on SE(3) via neural ordinary differential equations on Lie groups (2024)International journal of robotics research, 43(14), 2221-2244. Wotte, Y. P., Califano, F. & Stramigioli, S.https://doi.org/10.1177/02783649241256044Limiting Kinetic Energy through Control Barrier Functions: Analysis and Experimental Validation (2024)[Working paper › Working paper]. ArXiv.org. Califano, F., Logmans, D. & Roozing, W.https://doi.org/10.48550/arXiv.2411.02186Denoising Diffusion Planner: Learning Complex Paths from Low-Quality Demonstrations (2024)[Working paper › Working paper]. ArXiv.org. Nikken, M., Botteghi, N., Roozing, W. & Califano, F.https://doi.org/10.48550/arXiv.2410.21497Lossless optimal transient control for rigid bodies in 3D space (2024)[Working paper › Preprint]. ArXiv.org. Zanella, R., Califano, F., Franchi, A. & Stramigioli, S.https://doi.org/10.48550/arXiv.2410.15984The effect of control barrier functions on energy transfers in controlled physical systems (2024)[Working paper › Preprint]. ArXiv.org. Califano, F., Zanella, R., Macchelli, A. & Stramigioli, S.https://doi.org/10.48550/arXiv.2406.13420Learning passive policies with virtual energy tanks in robotics (2024)IET Control Theory and Applications, 18(5), 541-550. Zanella, R., Palli, G., Stramigioli, S. & Califano, F.https://doi.org/10.1049/cth2.12558Optimal Potential Shaping on SE(3) via Neural ODEs on Lie Groups (2024)[Working paper › Preprint]. ArXiv.org. Wotte, Y. P., Califano, F. & Stramigioli, S.https://doi.org/10.48550/arXiv.2401.15107
Research profiles
Courses academic year 2025/2026
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
- 191211208 - Internship EE
- 191211219 - Master Thesis Project
- 201600187 - Individual Project
- 201900223 - Capita Selecta Electrical Engineering
- 202001434 - Internship EMSYS
- 202001444 - Placement Course for Exchange EEMCS
- 202200101 - Modelling, Dynamics, and Kinematics
- 202200116 - Capita Selecta Robotics
- 202200119 - Academic Skills Project
- 202200120 - Internship ROB
- 202200122 - MSc-Thesis Project
- 202300124 - Modelling, Dynamics, Kinematics for EngD
- 202300349 - Internship ROB / ME
- 202500327 - GenAI Models and Robotic Applications
- 202500385 - Internship ROB / AM
Courses academic year 2024/2025
- 191211208 - Internship EE
- 191211219 - Master Thesis Project
- 201600187 - Individual Project
- 201900223 - Capita Selecta Electrical Engineering
- 202001434 - Internship EMSYS
- 202001444 - Placement Course for Exchange EEMCS
- 202200101 - Modelling, Dynamics, and Kinematics
- 202200116 - Capita Selecta Robotics
- 202200119 - Academic Skills Project
- 202200120 - Internship ROB
- 202300124 - Modelling, Dynamics, Kinematics for EngD
- 202300349 - Internship ROB/I-TECH
Address

University of Twente
Carré (building no. 15), room C3415
Hallenweg 23
7522 NH Enschede
Netherlands
University of Twente
Carré C3415
P.O. Box 217
7500 AE Enschede
Netherlands