Matteo Saveriano

Matteo Saveriano is an Associate Professor at the University of Trento, affiliated with both the Department of Industrial Engineering and the Department of Information Engineering and Computer Science. His work focuses on Robotics, Control Systems, and Machine Learning, with applications in robotic manipulation, locomotion, and human-robot interaction.

• Email: matteo.saveriano@unitn.it

Research interests include antifragile control systems, dynamic movement primitives, reinforcement learning, biomechanical characterisation, and motion planning on discrete manifolds. His teaching covers Automatic Control and Robotics, with a hybrid theoretical-practical approach using Python simulations.

Recent publications explore topics such as neuro-symbolic robotics, radiation effects on embedded GPUs, surface defect identification with Bayesian filtering, and reactive navigation using control barrier functions. These works highlight interdisciplinary trends at the intersection of robotics, machine learning, and control theory.