Publicaties

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

2023

Discovering efficient periodic behaviors in mechanical systems via neural approximators (2023)Optimal Control Applications and Methods, 44(6), 3052-3079. Wotte, Y. P., Dummer, S., Botteghi, N., Brune, C., Stramigioli, S. & Califano, F.https://doi.org/10.1002/oca.3025Intrinsic Nonlinear Elasticity: An Exterior Calculus Formulation (2023)Journal of nonlinear science, 33(5). Article 84. Rashad, R., Brugnoli, A., Califano, F., Luesink, E. & Stramigioli, S.https://doi.org/10.1007/s00332-023-09945-7Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models (2023)[Working paper › Preprint]. ArXiv.org. Botteghi, N., Califano, F., Poel, M. & Brune, C.https://doi.org/10.48550/arXiv.2306.15512

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