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Lorenzo Natale

Principal Investigator
Senior Researcher Tenured - Principal Investigator
Humanoid Sensing and Perception
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Biografia

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. Since 2020 he is 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
2023
Bottarel F., Altobelli A., Pattacini U., Natale L.
GRASPA-fying the Panda: Easily Deployable, Fully Reproducible Benchmarking of Grasp Planning Algorithms
IEEE Robotics and Automation Magazine
Article Journal
2023
Ghiorzi E., Colledanchise M., Piquet G., Bernagozzi S., Tacchella A., Natale L.
Learning Linear Temporal Properties for Autonomous Robotic Systems
IEEE Robotics and Automation Letters, vol. 8, (no. 5), pp. 2930-2937
Article Journal
2022
Cataldi P., Natale L., Athanassiou A.
Controllable Degradation Conductors for Soft Robotic Tactile Skin
MRS Fall Meeting 2022
Conference Paper Conference
2022
Maiettini E., Maracani A., Camoriano R., Pasquale G., Tikhanoff V., Rosasco L., Natale L.
From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach
RO-MAN 2022 - 31st IEEE International Conference on Robot and Human Interactive Communication: Social, Asocial, and Antisocial Robots, pp. 942-949
Conference Paper Conference
2022
Vasile F., Maiettini E., Pasquale G., Florio A., Boccardo N., Natale L.
Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis
The 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)
Conference Paper Conference