Loris Roveda
Loris Roveda
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Optimal impedance force-tracking control design with impact formulation for interaction tasks
L Roveda, N Iannacci, F Vicentini, N Pedrocchi, F Braghin, LM Tosatti
IEEE Robotics and Automation Letters 1 (1), 130-136, 2015
Iterative learning procedure with reinforcement for high-accuracy force tracking in robotized tasks
L Roveda, G Pallucca, N Pedrocchi, F Braghin, LM Tosatti
IEEE Transactions on Industrial Informatics 14 (4), 1753-1763, 2017
Deformation-tracking impedance control in interaction with uncertain environments
L Roveda, F Vicentini, LM Tosatti
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
Model-based reinforcement learning variable impedance control for human-robot collaboration
L Roveda, J Maskani, P Franceschi, A Abdi, F Braghin, L Molinari Tosatti, ...
Journal of Intelligent & Robotic Systems 100 (2), 417-433, 2020
High-accuracy robotized industrial assembly task control schema with force overshoots avoidance
L Roveda, N Pedrocchi, M Beschi, LM Tosatti
Control Engineering Practice 71, 142-153, 2018
Assisting operators in heavy industrial tasks: On the design of an optimized cooperative impedance fuzzy-controller with embedded safety rules
L Roveda, S Haghshenas, M Caimmi, N Pedrocchi, L Molinari Tosatti
Frontiers in Robotics and AI 6, 75, 2019
Human–robot collaboration in sensorless assembly task learning enhanced by uncertainties adaptation via Bayesian Optimization
L Roveda, M Magni, M Cantoni, D Piga, G Bucca
Robotics and Autonomous Systems 136, 103711, 2021
Discrete-time formulation for optimal impact control in interaction tasks
L Roveda, N Iannacci, LM Tosatti
Journal of Intelligent & Robotic Systems 90 (3), 407-417, 2018
Robot control parameters auto-tuning in trajectory tracking applications
L Roveda, M Forgione, D Piga
Control Engineering Practice 101, 104488, 2020
Contact dynamics of internally-actuated platforms for the exploration of small solar system bodies
RG Reid, L Roveda, IAD Nesnas, M Pavone
Proceedings of i-SAIRAS, 1-9, 2014
Adaptive interaction controller for compliant robot base applications
L Roveda
IEEE Access 7, 6553-6561, 2018
Exploiting impedance shaping approaches to overcome force overshoots in delicate interaction tasks
L Roveda, N Pedrocchi, LM Tosatti
International Journal of Advanced Robotic Systems 13 (5), 1729881416662771, 2016
Fuzzy impedance control for enhancing capabilities of humans in onerous tasks execution
L Roveda, S Haghshenas, A Prini, T Dinon, N Pedrocchi, F Braghin, ...
2018 15th international conference on ubiquitous robots (UR), 406-411, 2018
Learning continuous control actions for robotic grasping with reinforcement learning
AA Shahid, L Roveda, D Piga, F Braghin
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
PIROS: Cooperative, safe and reconfigurable robotic companion for CNC pallets load/unload stations
F Vicentini, N Pedrocchi, M Beschi, M Giussani, N Iannacci, P Magnoni, ...
Bringing Innovative Robotic Technologies from Research Labs to Industrial …, 2020
Impedance control based force-tracking algorithm for interaction robotics tasks: An analytically force overshoots-free approach
L Roveda, F Vicentini, N Pedrocchi, LM Tosatti
2015 12th International Conference on Informatics in Control, Automation and …, 2015
Mechanical and control design of an industrial exoskeleton for advanced human empowering in heavy parts manipulation tasks
A Mauri, J Lettori, G Fusi, D Fausti, M Mor, F Braghin, G Legnani, ...
Robotics 8 (3), 65, 2019
A machine learning approach for mortality prediction in COVID-19 pneumonia: development and evaluation of the Piacenza score
G Halasz, M Sperti, M Villani, U Michelucci, P Agostoni, A Biagi, L Rossi, ...
Journal of Medical Internet Research 23 (5), e29058, 2021
Design methodology of an active back-support exoskeleton with adaptable backbone-based kinematics
L Roveda, L Savani, S Arlati, T Dinon, G Legnani, LM Tosatti
International Journal of Industrial Ergonomics 79, 102991, 2020
Eureca h2020 cleansky 2: a multi-robot framework to enhance the fourth industrial revolution in the aerospace industry
L Roveda, S Ghidoni, S Cotecchia, E Pagello, N Pedrocchi
Robotics and Automation (ICRA), 2017
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