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Michele Ginesi
Michele Ginesi
European Institute of Oncology
Verified email at ieo.it - Homepage
Title
Cited by
Cited by
Year
Overcoming some drawbacks of dynamic movement primitives
M Ginesi, N Sansonetto, P Fiorini
Robotics and Autonomous Systems 144, 103844, 2021
672021
Dynamic movement primitives: Volumetric obstacle avoidance using dynamic potential functions
M Ginesi, D Meli, A Roberti, N Sansonetto, P Fiorini
Journal of Intelligent & Robotic Systems 101 (4), 1-20, 2021
642021
Imitationflow: Learning deep stable stochastic dynamic systems by normalizing flows
J Urain, M Ginesi, D Tateo, J Peters
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
552020
Autonomous task planning and situation awareness in robotic surgery
M Ginesi, D Meli, A Roberti, N Sansonetto, P Fiorini
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
522020
Dynamic Movement Primitives: Volumetric Obstacle Avoidance
M Ginesi, D Meli, A Calanca, D Dall'Alba, N Sansonetto, P Fiorini
2019 19th International Conference on Advanced Robotics (ICAR), 234-239, 2019
482019
A knowledge-based framework for task automation in surgery
M Ginesi, D Meli, H Nakawala, A Roberti, P Fiorini
2019 19th International Conference on Advanced Robotics (ICAR), 37-42, 2019
252019
Challenges of autonomous robotic surgery
P Fiorini, D Dall Alba, M Ginesi, B Maris, D Meli, H Nakawala, A Roberti
Proceedings of the Hamlyn Symposium on Medical Robotics 2019, 105-106, 2019
62019
Generalization of Auto-Regressive Hidden Markov Models to Non-Linear Dynamics and Unit Quaternion Observation Space
M Ginesi, P Fiorini
arXiv preprint arXiv:2302.11834, 2023
2023
Learning of Surgical Gestures for Robotic Minimally Invasive Surgery using Dynamic Movement Primitives and Latent Variable Models
M Ginesi
University of Verona, 2021
2021
GNU Octave
FY Numbers
2011
Velocity-Dependent Volumetric Obstacle Avoidance for Dynamic Movement Primitives
M Ginesi, D Meli, A Roberti, N Sansonetto, P Fiorini
A cognitive framework for surgical task automation
M Ginesi, D Meli, A Roberti, N Sansonetto, P Fiorini
A splitting method for the magnetic Schrödinger equation
C Dorigo, M Ginesi, E Pillon, IN Suleiman
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Articles 1–13