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 | 182 | 2020 |
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 | 119 | 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 | 95 | 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 | 68 | 2013 |
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 | 64 | 2021 |
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 | 61 | 2021 |
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 | 61 | 2019 |
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 | 53 | 2022 |
Robot control parameters auto-tuning in trajectory tracking applications L Roveda, M Forgione, D Piga Control Engineering Practice 101, 104488, 2020 | 52 | 2020 |
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 | 48 | 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 | 48 | 2018 |
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 | 47 | 2021 |
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 | 46 | 2022 |
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 | 41 | 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 | 40 | 2020 |
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 | 37 | 2018 |
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 | 36 | 2019 |
Adaptive interaction controller for compliant robot base applications L Roveda IEEE Access 7, 6553-6561, 2018 | 35 | 2018 |
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 | 34 | 2014 |
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 | 33 | 2020 |