Andrea Del Prete
Professore Associato
Trentino – Alto Adige/Südtirol, Italy
Summary
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Senior🎓
Top SchoolAndrea Del Prete is an associate professor and researcher with 12 years of experience specializing in control of legged robots, currently based at Università di Trento in Trentino–Alto Adige. His academic career spans PhD work on whole-body force control for the iCub humanoid to postdoctoral and research roles at Istituto Italiano di Tecnologia, LAAS-CNRS and the Max Planck Institute, emphasizing whole-body control, sensing and contact-aware locomotion. He combines theoretical control expertise with hands-on implementation, contributing to high-performance robotics code and tooling—evidenced by low-level C++ profiling work and Python bindings in the prominent Crocoddyl optimal control library. Known for clean, documented code and focus on maintainability and performance, he bridges research prototypes and robust software used in advanced legged locomotion. Educated in computer engineering at the University of Bologna, he brings a software-engineering mindset to robotics problems, from sensor integration to real-time control. Colleagues value his blend of rigorous theory, practical systems experience, and attention to performance details that often go unnoticed in research code.
12 years of coding experience
5 years of employment as a software developer
University of BolognaIngegneria Informatica, Ingegneria Informatica at Alma Mater Studiorum – Università di Bologna
English, French
Github Skills (10)
code-optimization10
maintainability10
c-language10
cprogramming-language10
profiling10
python9
control-flow7
controls7
control-theory7
robotics7
Programming languages (8)
Github contributions (5)
loco-3d/crocoddyl
Apr 2021 - Jul 2021
Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms
Role in this project:
Back-end Developer
Back-end DeveloperContributions:54 reviews, 77 commits, 4 PRs in 3 months
Contributions summary:Andrea primarily contributed to the development of a stop-watch class, including its Python bindings, for code profiling. This involved writing C++ code for the class, which was designed for measuring and reporting the execution time of code segments. Furthermore, the user cleaned up the code, ensured compliance with Doxygen documentation standards, and implemented the use of const references. This suggests a focus on performance optimization and code maintainability within the project.
sequencecode-generationmodel-predictive-controloptimal-controllegged-robotics
stack-of-tasks/tsid
Mar 2017 - Nov 2021
Efficient Task Space Inverse Dynamics (TSID) based on Pinocchio
Contributions:48 reviews, 170 commits, 50 PRs in 4 years 9 months
roboticstask-space-inverse-dynamicsoptimizationhumanoidsdynamics
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