Loris Roveda, Professor for the Advanced Robotics course at the faculty of Engineering of eCampus University and researcher at Istituto Dalle Molle di studi sull’Intelligenza Artificiale (IDSIA SUPSI-USI). He graduated with MSc degree in Mechanical Engineering at Politecnico di Milano in 2011. He obtained his PhD in Mechanical Engineering in Mechanical Engineering at Politecnico di Milano in 2015.

His research activities are focused on robotics and Industry 4.0. In particular, collaborative robotics is the main research area (robot control, human-robot interaction, dynamic modeling and identification, task learning, design and control of exoskeleton robots, safety).

Email: loris.roveda@uniecampus.it

Main publications:

  1. Loris Roveda, Nicola Castaman, Paolo Franceschi, Stefano Ghidoni, Nicola Pedrocchi. 2020. A Control Framework Definition to Overcome Position/Interaction Dynamics Uncertainties in Force-Controlled Tasks. IEEE International Conference on Robotics and Automation (ICRA) 2020.
  2. Loris Roveda, Shaghayegh Haghshenas, Marco Caimmi, Nicola Pedrocchi, Lorenzo Molinari Tosatti. 2019. Assisting Operators in Heavy Industrial Tasks: on the Design of an Optimized Cooperative Impedance Fuzzy-Controller with Embedded Safety Rules. Accepted for publication. Frontiers on Robotics and AI. DOI: 10.3389/frobt.2019.00075.
  3. Alessandro Mauri, Jacopo Lettori, Giovanni Fusi, Davide Fausti, Maurizio Mor, Francesco Braghin, Giovanni Legnani, Loris Roveda. 2019. Mechanical and Control Design of an Industrial Exoskeleton for Advanced Human Empowering in Heavy Parts Manipulation Tasks. Accepted for publication. MDPI Robotics. DOI:10.3390/robotics8030065.
  4. Loris Roveda, Blerina Spahiu, Walter Terkaj. 2019. On the Proposal of a Unified Safety Framework for Industry 4.0 Multi-Robot Scenario. SEBD 2019.
  5. Loris Roveda, Nicola Castaman, Stefano Ghidoni, Paolo Franceschi, Nicola Bagarello, Nicolò Boscolo, Enrico Pagello, Nicola Pedrocchi. 2018. A Human-Robot Cooperative Procedure for the Installation of Heavy/Bulky Components. SMC 2018.
  6. Loris Roveda. 2018. Adaptive Interaction Controller for Compliant Robot Base Applications. Accepted for publication. IEEE Access. DOI: 10.1109/ACCESS.2018.2889849.
  7. Yuqing Chen, Loris Roveda, David Braun. 2018. Efficiently Computable Constrained Optimal Feedback Controllers. Accepted for publication. IEEE Robotics and Automation Letters. DOI: 10.1109/LRA.2018.2879683. ISSN: 2377-3766.
  8. Loris Roveda, Giacomo Pallucca, Nicola Pedrocchi, Francesco Braghin, Lorenzo Molinari Tosatti. 2017. Iterative Learning Procedure With Reinforcement for High-Accuracy Force Tracking in Robotized Tasks. Accepted for publication. IEEE Transactions on Industrial informatics. DOI:10.1109/TII.2017.2748236. ISSN: 1551-3203.
  9. Loris Roveda, Manuel Beschi, Nicola Pedrocchi, Lorenzo Molinari Tosatti. 2017. High-Accuracy Robotized Industrial Assembly Task Control Schema with Force Overshoots Avoidance. Accepted for publication. Elsevier, Control Engineering Practice. https://doi.org/10.1016/j.conengprac.2017.10.015. ISSN: 0967-0661.
  10. Loris Roveda, Niccolò Iannacci, Lorenzo Molinari Tosatti. 2017. Discrete-Time Formulation for Optimal Impact Control in Interaction Tasks. Accepted for publication. Journal of Intelligent & Robotic Systems. DOI: 10.1007/s10846-017-0683-6. ISSN: 0921-0296.
  11. Loris Roveda, Nicola Pedrocchi, Federico Vicentini, Lorenzo Molinari Tosatti. 2016. An Interaction Controller Formulation to Systematically Avoid Force Overshoots through Impedance Shaping Method with Compliant Robot Base. Accepted for publication. Elsevier, Mechatronics. DOI: 10.1016/j.mechatronics.2016.08.001. ISSN: 0957-4158.
  12. Loris Roveda, Nicola Pedrocchi, Federico Vicentini, Lorenzo Molinari Tosatti. 2016. Industrial Compliant Robot Bases in Interaction Tasks: a Force Tracking Algorithm with Coupled Dynamics Compensation. Accepted for publication. Robotica. DOI: 10.1017/S0263574716000461. ISSN: 0263-5747.
  13. Loris Roveda, Nicola Pedrocchi, Lorenzo Molinari Tosatti. 2016. Exploiting Impedance Shaping Approaches to Overcome Force Overshoots in Delicate Interaction Tasks. Accepted for publication. International Journal of Advanced Robotic Systems. DOI: 10.1177/1729881416662771. ISSN: 1729-8814.
  14. Loris Roveda, Niccolò Iannacci, Federico Vicentini, Nicola Pedrocchi, Francesco Braghin, Lorenzo Molinari Tosatti. 2016. Optimal impedance force-tracking control design with impact formulation for interaction tasks. Accepted for publication. IEEE, Robotics and Automation Letters. DOI: 10.1109/LRA.2015.2508061. ISSN: 2377-3766.
  15. Loris Roveda, Federico Vicentini, Lorenzo Molinari Tosatti. 2013. Deformation-tracking impedance control in interaction with uncertain environments. IEEE Intelligent Robots and Systems (IROS) 2013.