Scholar
Andrea Del Prete
Google Scholar ID: PYLHQsYAAAAJ
Associate Professor, University of Trento
Citations & Impact
Citations
2,288
H-index
24
i10-index
38
Publications
20
Co-authors
90
list available
Publications
Resume (English only)
Academic Achievements
- - Associate Editor for IEEE Robotics and Automation Letters (since 2020)
- - Associate Editor for IEEE Transactions on Robotics (since 2024)
Research Experience
- - January 2022 – Present, Associate Professor, Industrial Engineering Department, University of Trento, conducting research on merging learning and model-based techniques for safe robot control.
- - January 2019 – December 2021, Assistant Professor (tenure track), Industrial Engineering Department, University of Trento, researching robot co-design, robust and stochastic model predictive control.
- - January 2018 – December 2018, Research Scientist, Max Planck Institute for Intelligent Systems, working on optimization-based control for the humanoid robot Athena, under the lead of Ludovic Righetti.
- - January 2014 – December 2017, Post-Doc / Associated Researcher, Gepetto team, LAAS/CNRS, collaborating with Nicolas Mansard, Olivier Stasse, Steve Tonneau, and Justin Carpentier, controlling the HRP-2 humanoid robot using robust optimization, stochastic optimization, motor identification, torque control, and hierarchical trajectory optimization.
- - January 2010 – December 2012, PhD, Dept. “Robotics, Brains and Cognitive Science”, Italian Institute of Technology, working on motion and force control of the iCub humanoid robot, supervised by Lorenzo Natale and Francesco Nori.
Education
- - PhD in Robotics, 2013, Italian Institute of Technology
- - MEng in Computer Engineering, 2009, University of Bologna
- - BSc in Computer Engineering, 2006, University of Bologna
Background
- Interests: Robot Control, Reinforcement Learning, Trajectory Optimization, Safety Certificates, Numerical Algorithms. Biography: Since 2022, an associate professor in the Industrial Engineering Department of the University of Trento, part of the Interdepartmental Robotics Lab (IDRA). From 2019 to 2021, a tenure-track assistant professor in the same department, teaching optimal control and reinforcement learning as well as C++ programming.
Miscellany
- Courses:
- - Optimization and Learning for Robot Control: A 48-hour course for master students focusing on modern optimal control and reinforcement learning techniques for robot control.
- - Optimization-based Control of Legged Robots: A 12-hour course for PhD students about reactive control (TSID) and trajectory optimization for legged robots.
- - Task-Space Inverse Dynamics: A 3-hour course for PhD students about Quadratic-Programming-based dynamic control.
