Federico Califano

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 28

Top Topics

Deformable Contour

Mechanical Systems

Top Venues

IEEE Control. Syst. Lett.

IEEE Robotics Autom. Lett.

Publications

Yannik P. Wotte, Federico Califano, Stefano Stramigioli
Optimal Potential Shaping on SE(3) via Neural ODEs on Lie Groups. CoRR (2024)
Federico Califano, Riccardo Zanella, Alessandro Macchelli, Stefano Stramigioli
The effect of control barrier functions on energy transfers in controlled physical systems. CoRR (2024)
Ramy Rashad, Andrea Brugnoli, Federico Califano, Erwin Luesink, Stefano Stramigioli
Intrinsic Nonlinear Elasticity: An Exterior Calculus Formulation. J. Nonlinear Sci. 33 (5) (2023)
Nicolò Botteghi, Federico Califano, Mannes Poel, Christoph Brune
Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models. CoRR (2023)
Federico Califano
Passivity-Preserving Safety-Critical Control Using Control Barrier Functions. IEEE Control. Syst. Lett. 7 (2023)
Riccardo Zanella, Gianluca Palli, Stefano Stramigioli, Federico Califano
Passivizing learned policies and learning passive policies with virtual energy tanks in robotics. CoRR (2023)
Federico Califano
Passivity-Preserving Safety-Critical Control using Control Barrier Functions. CoRR (2023)
Yannik Wotte, Sven Dummer, Nicolò Botteghi, Christoph Brune, Stefano Stramigioli, Federico Califano
Discovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators. CoRR (2022)
Stefano Massaroli, Michael Poli, Federico Califano, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
Optimal Energy Shaping via Neural Approximators. SIAM J. Appl. Dyn. Syst. 21 (3) (2022)
Federico Califano, Ramy Rashad, Cristian Secchi, Stefano Stramigioli
On the use of energy tanks for robotic systems. CoRR (2022)
Federico Califano, Daniël van Dijk, Wesley Roozing
A Task-Based Post-Impact Safety Protocol Based on Energy Tanks. IEEE Robotics Autom. Lett. 7 (4) (2022)
Federico Califano, Ramy Rashad, Cristian Secchi, Stefano Stramigioli
On the Use of Energy Tanks for Robotic Systems. HFR (2022)
Federico Califano, Ramy Rashad, Alexander Dijkshoorn, Luuk Groot Koerkamp, Riccardo Sneep, Andrea Brugnoli, Stefano Stramigioli
Decoding and realising flapping flight with port-Hamiltonian system theory. Annu. Rev. Control. 51 (2021)
Bart Gerlagh, Federico Califano, Stefano Stramigioli, Wesley Roozing
Energy-aware adaptive impedance control using offline task-based optimization. ICAR (2021)
Stefano Massaroli, Michael Poli, Federico Califano, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
Optimal Energy Shaping via Neural Approximators. CoRR (2021)
Luigi Biagiotti, Federico Califano, Claudio Melchiorri
Repetitive Control Meets Continuous Zero Phase Error Tracking Controller for Precise Tracking of B-Spline Trajectories. IEEE Trans. Ind. Electron. 67 (9) (2020)
Stefano Massaroli, Federico Califano, Angela Faragasso, Atsushi Yamashita, Hajime Asama
On the Extinction-Free Stabilization of Predator-Prey Dynamics. IEEE Control. Syst. Lett. 4 (4) (2020)
Ramy Rashad, Federico Califano, Arjan van der Schaft, Stefano Stramigioli
Twenty years of distributed port-Hamiltonian systems: a literature review. IMA J. Math. Control. Inf. 37 (4) (2020)
Stefano Massaroli, Renato Miyagusuku, Federico Califano, Angela Faragasso, Atsushi Yamashita, Hajime Asama
A Novel Recursive Linear Estimator Based on the Frisch Scheme. ASCC (2019)
Ramy Rashad, Federico Califano, Stefano Stramigioli
Port-Hamiltonian Passivity-Based Control on SE(3) of a Fully Actuated UAV for Aerial Physical Interaction Near-Hovering. IEEE Robotics Autom. Lett. 4 (4) (2019)
Anthony Hastir, Federico Califano, Hans Zwart
Well-posedness of infinite-dimensional linear systems with nonlinear feedback. Syst. Control. Lett. 128 (2019)
Stefano Massaroli, Michael Poli, Federico Califano, Angela Faragasso, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
Port-Hamiltonian Approach to Neural Network Training. CoRR (2019)
Stefano Massaroli, Michael Poli, Federico Califano, Angela Faragasso, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
Port-Hamiltonian Approach to Neural Network Training. CDC (2019)
Davide Chiaravalli, Federico Califano, Luigi Biagiotti, Daniele De Gregorio, Claudio Melchiorri
Physical-consistent behavior embodied in B-spline curves for robot path planning. SyRoCo (2018)
Alessandro Macchelli, Federico Califano
Dissipativity-based boundary control of linear distributed port-Hamiltonian systems. Autom. 95 (2018)
Federico Califano, Michelangelo Bin, Alessandro Macchelli, Claudio Melchiorri
Stability Analysis of Nonlinear Repetitive Control Schemes. IEEE Control. Syst. Lett. 2 (4) (2018)
Federico Califano, Alessandro Macchelli, Claudio Melchiorri
Stability analysis of repetitive control: The port-Hamiltonian approach. CDC (2017)
Luigi Biagiotti, Federico Califano, Claudio Melchiorri
Repetitive control of non-minimum phase systems along B-spline trajectories. CDC (2016)