Matteo Bianchi (U. Pisa) - Model based and data driven approaches for human sensory-motor system
MaLGa Seminar Series - Machine Learning and Vision
This event is part of the Ellis Genoa activities.
Speaker: Matteo Bianchi
Affiliation: Centro E. Piaggio, University of Pisa
Date: Monday June 6th, 2022
Title: Model-based and data-driven approaches for modelling human sensory-motor system: applications to advanced sensing systems and autonomous robotic grasping
Abstract: Human example represents an extraordinary source of inspiration for haptics and robotics. In this talk, I will present both model-based and data-driven approaches that can successfully translate neuroscientific observations on human sensory-motor system and behavior into a “language”, which can be understood by artificial systems and used to inform a more effective design of advanced sensing devices, as well as the planning and control of robotic manipulators with autonomous grasping capabilities. I will conclude my presentation discussing possible future perspectives for these two classes (model-informed and model-free) of approaches.
Bio: Matteo Bianchi is currently an Associate Professor at the Research Centre “E. Piaggio” and the Department of Information Engineering (DII) of the Università di Pisa. He is also clinical research affiliate at Mayo Clinic (Rochester, USA) and serves as co-Chair of the RAS Technical Committee on Robot Hands, Grasping and Manipulation and served as Vice- Chair for Information and Dissemination of the RAS Technical Committee on Haptics (2018-2021). He acts as the Principal Investigator of national and EU grants, and research contracts with companies in the field of human-machine interaction and he is author of more than 100 peer-reviewed contributions. Matteo also serves as member of the editorial/organizing board of international conferences and journals in the field of haptics and robotics. Matteo's research interests mainly focus on the modelling of human touch and the design of haptic interfaces for virtual and augmented reality, robotics/medical robotics (robot-assisted minimally invasive surgery and prosthetics), tele-robotics, and assistive/affective human-robot interaction. Another important topic is related to tactile sensing and the study of human and robotic hands/manipulation. Matteo is recipient of several national and international awards, including the JCTF novel technology paper award at the IEEE/RSJ IROS Conference in Villamoura, Portugal (2012) and the Best Paper Award at the IEEE-RAS Haptics Symposium in Philadelphia, USA (2016).
Видео Matteo Bianchi (U. Pisa) - Model based and data driven approaches for human sensory-motor system канала MaLGa - Machine Learning Genoa Center
This event is part of the Ellis Genoa activities.
Speaker: Matteo Bianchi
Affiliation: Centro E. Piaggio, University of Pisa
Date: Monday June 6th, 2022
Title: Model-based and data-driven approaches for modelling human sensory-motor system: applications to advanced sensing systems and autonomous robotic grasping
Abstract: Human example represents an extraordinary source of inspiration for haptics and robotics. In this talk, I will present both model-based and data-driven approaches that can successfully translate neuroscientific observations on human sensory-motor system and behavior into a “language”, which can be understood by artificial systems and used to inform a more effective design of advanced sensing devices, as well as the planning and control of robotic manipulators with autonomous grasping capabilities. I will conclude my presentation discussing possible future perspectives for these two classes (model-informed and model-free) of approaches.
Bio: Matteo Bianchi is currently an Associate Professor at the Research Centre “E. Piaggio” and the Department of Information Engineering (DII) of the Università di Pisa. He is also clinical research affiliate at Mayo Clinic (Rochester, USA) and serves as co-Chair of the RAS Technical Committee on Robot Hands, Grasping and Manipulation and served as Vice- Chair for Information and Dissemination of the RAS Technical Committee on Haptics (2018-2021). He acts as the Principal Investigator of national and EU grants, and research contracts with companies in the field of human-machine interaction and he is author of more than 100 peer-reviewed contributions. Matteo also serves as member of the editorial/organizing board of international conferences and journals in the field of haptics and robotics. Matteo's research interests mainly focus on the modelling of human touch and the design of haptic interfaces for virtual and augmented reality, robotics/medical robotics (robot-assisted minimally invasive surgery and prosthetics), tele-robotics, and assistive/affective human-robot interaction. Another important topic is related to tactile sensing and the study of human and robotic hands/manipulation. Matteo is recipient of several national and international awards, including the JCTF novel technology paper award at the IEEE/RSJ IROS Conference in Villamoura, Portugal (2012) and the Best Paper Award at the IEEE-RAS Haptics Symposium in Philadelphia, USA (2016).
Видео Matteo Bianchi (U. Pisa) - Model based and data driven approaches for human sensory-motor system канала MaLGa - Machine Learning Genoa Center
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29 июня 2022 г. 3:00:22
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