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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. 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. He was general chair of IEEE ARSO 2018 and served as Program Chair of ICDL-Epirob 2014 and HAI 2017. He is Specialty Chief Editor for the Humanoid Robotics Section of Frontiers in Robotics and AI, associate editor for IEEE-Transactions on Robotics and IEEE Robotics and Automation Letters. He is Ellis Fellow and Core Faculty of the Ellis Genoa Unit.

All Publications
Nobile L., Randazzo M., Colledanchise M., Monorchio L., Villa W., Puja F., Natale L.
Active exploration for obstacle detection on a mobile humanoid robot
Actuators, vol. 10, (no. 9)
Article Journal
Safronov E., Nicola P., Colledanchise M., Natale L.
Active Perception for Ambiguous Objects Classification
IEEE/RSJ International Conference on Intelligent Robots and Systems
Conference Paper Conference
Piga N.A., Pattacini U., Natale L.
A Differentiable Extended Kalman Filter for Object Tracking Under Sliding Regime
Frontiers Robotics AI, vol. 8
Article Journal
Colledanchise M., Cicala G., Domenichelli D., Natale L., Tacchella A.
A Toolchain to Design, Execute, and Monitor Robots Behaviors
Workshop on Robust and Reliable Autonomy in the Wild @ IJCAI'21
Conference Paper Conference
Ceola F., Maiettini E., Pasquale G., Rosasco L., Natale L.
Fast Object Segmentation Learning with Kernel-based Methods for Robotics
IEEE-RAS International Conference on Robotics and Automation
Conference Paper Conference