Следене
Loris Roveda
Loris Roveda
Senior Researcher @ IDSIA-SUPSI/USI
Потвърден имейл адрес: idsia.ch
Заглавие
Позовавания
Позовавания
Година
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
1742020
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
1172015
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
942017
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
682013
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
592021
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, 463524, 2019
582019
Continuous control actions learning and adaptation for robotic manipulation through reinforcement learning
AA Shahid, D Piga, F Braghin, L Roveda
Autonomous Robots 46 (3), 483-498, 2022
502022
Review on patient-cooperative control strategies for upper-limb rehabilitation exoskeletons
S Dalla Gasperina, L Roveda, A Pedrocchi, F Braghin, M Gandolla
Frontiers in Robotics and AI 8, 745018, 2021
492021
Robot control parameters auto-tuning in trajectory tracking applications
L Roveda, M Forgione, D Piga
Control Engineering Practice 101, 104488, 2020
492020
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
482018
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
472021
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
432020
Q-Learning-based model predictive variable impedance control for physical human-robot collaboration
L Roveda, A Testa, AA Shahid, F Braghin, D Piga
Artificial Intelligence 312, 103771, 2022
422022
Sensorless environment stiffness and interaction force estimation for impedance control tuning in robotized interaction tasks
L Roveda, D Piga
Autonomous Robots 45 (3), 371-388, 2021
402021
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
392020
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
362018
Adaptive interaction controller for compliant robot base applications
L Roveda
IEEE Access 7, 6553-6561, 2018
352018
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
342014
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
332019
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
332016
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