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[Gabriele Mario Caddeo]
[Gabriele Mario Caddeo]
Title of the talk: “Domain adaptation for learning tactile object features with vision-based sensors”
Italian Institute of Technology.
Gabriele Mario Caddeo is a Postdoctoral researcher in Robotics and AI working at the Italian Institute of Technology (IIT) in the Humanoid Sensing and Perception (HSP) lab, directed by Dr. Lorenzo Natale. He received his Bachelor’s and Master’s degrees from the Polytechnic University of Turin and his PhD in Robotics from the University of Genoa/IIT, with a thesis on tactile sensing–based algorithms. He was previously a Visiting Researcher at the Technical University of Munich and the University of Maryland. He is currently working on visuo-tactile perception and manipulation algorithms, generative AI models, and multidimensional comparisons in deep learning.
[Alessandro Marino]
[Alessandro Marino]
Title of the talk: “Coordinated multi-arm control for manipulation in complex settings”
Department of Electrical and Information Engineering "Maurizio Scarano", Università degli Studi di Cassino e del Lazio Meridionale.
Alessandro Marino is an Associate Professor in Automatic Control at the Department of Electrical and Information Engineering “Maurizio Scarano” of the University of Cassino and Southern Lazio. His areas of expertise include human–robot and multi-robot interaction, distributed control of interconnected robotic systems, cooperative manipulation with mobile manipulators, and fault diagnosis in networked systems.
His research interests are focused on modeling, analysis, and control of collaborative robotic systems, with particular emphasis on safe physical interaction between humans and robots and on distributed coordination strategies. His current research efforts are directed toward the development and experimental validation of innovative control algorithms for multi-robot systems in collaboration with humans, with applications ranging from industrial assembly to precision agriculture.
He has been local principal investigator of European and national research projects, including the H2020 projects CANOPIES and LABOR. Alessandro is the author of about 100 scientific publications and has served as Associate Editor for the IEEE Transactions on Control Systems Technology and IEEE Transactions on Automation Science and Engineering.
[Alessio Caporali]
[Alessio Caporali]
Title of the talk: “Model-based Tracking of Deformable Linear Objects in Challenging Environments”
Dipartimento di Ingegneria dell'Energia Elettrica e dell'Informazione "Guglielmo Marconi", Alma Mater Studiorum Università di Bologna.
Alessio Caporali received the M.Sc. and Ph.D. degrees in Automation Engineering from the University of Bologna, Italy, in 2019 and 2024, respectively. He is currently a junior assistant professor (fixed-term) at the University of Bologna, where he works at the intersection of robotics and machine learning. His research focuses on computer vision and tactile sensing, deformable object modeling, robotic manipulation of deformable objects, and deep learning for physical systems.
[Alessandro Saccon]
[Alessandro Saccon]
Title of the talk: “The Quest for Robust Contact-Rich and Impact-Aware Manipulation: On Control Theory, Physics Simulation, Robot Learning, and Suitable Hardware”
Mechanical Engineering Department, Eindhoven University of Technology (TU/e).
Alessandro Saccon is an Associate Professor in Nonlinear Control and Robotics at the Mechanical Engineering Department of the Eindhoven University of Technology (TU/e). His areas of expertise include nonlinear control and estimation, robotics, numerical optimal control and optimization, multi-body mechanics, and geometric mechanics. Alessandro’s research interests are focused on modeling, analysis, and control of complex and highly dynamical robotic and mechatronic systems. His current research efforts are directed toward the development and validation of innovative control strategies for robotic systems with multiple intermittent dynamic contacts, with application in the field of dynamic robot manipulation and locomotion. Within this context, he has coordinated the Horizon 2020 EU project I.AM, focusing on impact-aware manipulation for logistics applications. He has been an associate editor of the IEEE Transactions on Robotics (T-RO) and guest editor for the IEEE T-RO Special Collection on Impact-Aware Robotics. He is the recipient of the 2024 Dutch Data Price in the category of Natural & Engineering Sciences for the creation of the Impact-Aware Robotics Database.
[Maria Pozzi]
[Maria Pozzi]
Title of the talk: “Soft manipulation: the role of mechanical intelligence in robotic grasping”
Dipartimento di Ingegneria dell'Informazione e Scienze Matematiche, Università di Siena.
Maria Pozzi is a fixed term Assistant Professor (RTD-A) at the University of Siena and holds a Bachelor's Degree (Computer and Information Engineering, 2013), a Master's Degree (Computer and automation Engineering, 2015) and a PhD (Information Engineering and Science, 2019), all with honors from the University of Siena. In 2018, she won the RAS Haptics Grant promoted by the IEEE RAS Technical Committee on Haptics. In 2021, she was selected as an "RSS Pioneer" and was invited as a speaker for the "IFRR Global Robotics Colloquium on The Future of Robotic Manipulation". Her main research interests include: robotic grasping, simulation and modeling of soft robots, haptic interfaces for human-robot collaboration, and educational robotics. Since 2021, she is Associate Editor for the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) and since 2023 she is Associate Editor for the IEEE Robotics and Automation Magazine and the IEEE Robotics and Automation Letters.
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