Luigi Palmieri

I am a group leader and research scientist at Robert Bosch GmbH Corporate Research, where I work on artificial intelligence methods that enable autonomous agents, such as autonomous driving cars and robots, to learn and generate complex behaviors.

I earned my PhD with focus on robot planning, control and learning at Uni Freiburg, Social Robotics Laboratory. I obtained my Master and Bachelor degrees in computer engineering at the Università degli Studi della Campania, Luigi Vanvitelli.

Research Interests

My wish is to commit and to contribute to the technological, social and economical progress of our society, by developing novel AI and robotics technologies that can improve and be integral part of our daily life.

In particular, I am interested in developing AI algorithms for smart autonomous decision making under uncertainty for single and multi-agent systems, such as: human behavior, activitiy and motion prediction, also using vision-language models; behavior learning in dynamic environments, reinforcement learning, hybrid systems of learning-planning-control.

Academic Service

I’m a 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 associate editor for ICRA and PC/reviewer for: ICRA, IROS, RA-L, TRO, AAAI, and various ML/AI workshops.

news

Jun 10, 2025 We are finalizing our DARKO project. We had a great month of integration of our components and successful stakeholder demos at KI Fabrik Munich: a great team effort!
May 23, 2025 I had opportunity to present our recent works on context-aware robot navigation and foundation models at the workshops on Foundation Models and Neuro-Symbolic AI and Advances in Social Navigation at ICRA 2025.
May 19, 2025 A lot of interesting discussions during our workshop LHMP at ICRA 2025.

selected publications

  1. Human motion trajectory prediction: A survey
    Rudenko, Andrey, Palmieri, Luigi, Herman, Michael, Kitani, Kris M, Gavrila, Dariu M, and Arras, Kai O
    The International Journal of Robotics Research 2020
  2. Distance metric learning for RRT-based motion planning with constant-time inference
    Palmieri, Luigi, and Arras, Kai O
    In 2015 IEEE International Conference on Robotics and Automation (ICRA) 2015
  3. Dispertio: Optimal sampling for safe deterministic motion planning
    Palmieri, Luigi, Bruns, Leonard, Meurer, Michael, and Arras, Kai O
    IEEE Robotics and Automation Letters 2019