Co-organizer of the Long-term Human Motion Prediction series of workshops, organizer and associate editor of the Special Issue on Long-term Human Motion Prediction on the IEEE Robotics and Automation Letters. Served as an associate editor for ICRA and PC/reviewer for: ICRA, IROS, RA-L, TRO, AAAI, and various ML/AI workshops. Published papers such as 'Delta: Decomposed efficient long-term robot task planning using large language models'.
Research Experience
Currently a group leader and research scientist at Robert Bosch GmbH Corporate Research, working on artificial intelligence methods that enable autonomous agents like autonomous driving cars and robots to learn and generate complex behaviors.
Education
Earned a PhD focusing on robot planning, control, and learning at Uni Freiburg, Social Robotics Laboratory; obtained Master and Bachelor degrees in computer engineering from the Università degli Studi della Campania, Luigi Vanvitelli.
Background
Research interests include developing AI algorithms for smart autonomous decision making under uncertainty for single and multi-agent systems. Particularly interested in human behavior, activity, and motion prediction, as well as behavior learning in dynamic environments, reinforcement learning, and hybrid systems of learning-planning-control.
Miscellany
Involved in the DARKO project; presented recent works on context-aware robot navigation and foundation models at ICRA 2025.