Summary
Michele Focchi is a Tenure Track Professor and internationally recognized expert in motion planning and control for quadruped robots, with over a decade of hands-on research and development at the intersection of control, optimization, and machine learning. He pioneered heuristic locomotion strategies for unstructured terrains and advanced optimization-based whole-body control and model identification for real-world robotic platforms. As a professor at the University of Trento and long-term researcher at Istituto Italiano di Tecnologia, he co-founded the Dynamic Legged Systems Lab and co-created the MOOG-IIT joint lab to translate cutting-edge control theory into industrial robotics solutions. His portfolio spans academic leadership, high-impact collaborations with ESA and industry partners, and applied projects such as rappelling robots for hydro-geological risk reduction and tracked-robot control in agriculture. Consistently productive—authoring 50+ papers, supervising numerous theses, and ranked among the 400 most-cited Italian engineers—he combines deep theoretical insight with practical system-building and technology transfer.
12 years of coding experience
2 years of employment as a software developer
industrial automation technician, industrial automation technician at Professional training school Centro Zavatta
Laboratório de Hidráulica e Pneumática, Universidade Federal de Santa Catarina
Master degree, Master degree at Politecnica de Valencia,Spain
University of Bologna
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Università degli Studi di Genova
Master's degree, Master's degree at ASPIC, counseling school
Esame di stato per l'abilitazione alla professione di ingegnere industriale
High school diploma, High school diploma at Liceo Scientifico
Automation engineering Master, Automation engineering Master at Politecnico di Milano
English