Scholar
Davide Tateo
Google Scholar ID: LGnu3SEAAAAJ
Research group leader at Technische Universität Darmstadt
Citations & Impact
Citations
893
H-index
16
i10-index
20
Publications
20
Co-authors
83
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Co-developed MushroomRL, a Python Reinforcement Learning Library, with Carlo D'Eramo, providing a clear interface to various benchmarking environments and simulators and implementation of many classical and deep reinforcement learning algorithms.
Research Experience
- During his stay at IAS, he worked on the SKILLS4ROBOTS project, which aimed to develop humanoid robots that can acquire and improve a rich set of motor skills. Currently, he is involved in various projects including the KIARA project for advanced manipulation skills in risky scenarios, the DeepWalking project for learning human gaits from demonstrations, and the INTENTION project for developing legged robot locomotion using active perception. From April 1st to September 30th, 2025, he was additionally a substitute professor at the PEARL lab of Prof. Georgia Chalvatzaki.
Education
- Received his Ph.D. in Information Technology from Politecnico di Milano (Milan, Italy) in February 2019, under the supervision of Prof. Andrea Bonarini and Prof. Marcello Restelli, focusing on Hierarchical and Inverse Reinforcement Learning.
Background
- Research Interests: Reinforcement Learning (Safe RL, Deep RL), Robotics (fast and reactive motion planning, locomotion). Affiliated with TU Darmstadt, Intelligent Autonomous Systems, Computer Science Department. Starting from October 1st, 2025, he will be a Senior Lecturer in the Robotics and Semantic Systems group at Lund University in Sweden.
Miscellany
- He leads the Safe and Reliable Robot Learning Research Group, whose main goal is to develop learning algorithms that can be deployed on real systems, focusing on fundamental properties of the learning algorithm such as acting under (safety) constraints.
