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Lorenzo Natale

Principal Investigator
Senior Researcher Tenured - Principal Investigator
Humanoid Sensing and Perception
Research center

Lorenzo Natale is Tenured Senior Researcher at the Italian Institute of Technology, where he leads the Humanoid Sensing and Perception group. He received his degree in Electronic Engineering (with honours) and Ph.D. in Robotics from the University of Genoa. He was later postdoctoral researcher at the MIT Computer Science and Artificial Intelligence Laboratory. He was invited professor at the University of Genova where he taught the courses of Natural and Artificial Systems and Antropomorphic Robotics for students of the Bioengineering curriculum. In 2020 and 2021 he was visiting Professor at the University of Manchester.

Lorenzo Natale has contributed to the development of various humanoid platforms. He was one of the main contributors to the design and development of the iCub platform, its software architecture and the YARP middleware. His research interests range from vision and tactile sensing to software architectures for robotics.

He has been principal investigator and co-principal investigator in several EU funded projects (FP7, H2020 and Horizon Europe) and he is currently coordinator of the Horizon Europe project CONVINCE. He was general chair of IEEE ARSO 2018, Program Chair of ICDL-Epirob 2014 and HAI 2017, and associate editor for IEEE-Transactions on Robotics and IEEE Robotics and Automation Letters. He is Specialty Chief Editor for the Humanoid Robotics Section of Frontiers in Robotics and AI. He is Ellis Fellow and Core Faculty of the Ellis Genoa Unit.

All Publications
Woolfrey K., Ajoudani A., Lu W., Natale L.
Optimal Configurations for Stiffness and Compliance in Human & Robot Arms
Article in Press Journal
Ceola F., Rosasco L., Natale L.
RESPRECT: Speeding-Up Multi-Fingered Grasping With Residual Reinforcement Learning
IEEE Robotics and Automation Letters
Gabriele M.C., Maracani A., Alfano P.D., Piga N.A., Rosasco L., Natale L.
Sim2Real Bilevel Adaptation for Object Surface Classification using Vision-Based Tactile Sensors
IEEE-RAS International Conference on Robotics and Automation
Conference Paper Conference
Piga N.A., Natale L.
Adaptive Tactile Force Control in a Parallel Gripper with Low Positioning Resolution
IEEE Robotics and Automation Letters
Article Journal
Ceola F., Maiettini E., Rosasco L., Natale L.
A Grasp Pose is All You Need: Learning Multi-Fingered Grasping with Deep Reinforcement Learning from Vision and Touch
IEEE International Conference on Intelligent Robots and Systems, pp. 2985-2992
Conference Paper Conference