Robert Gieselmann

Researcher at Amazon specializing in the intersection of Generative AI (LLMs), Reinforcement Learning, and Neuro-symbolic Search. I develop novel planning and reasoning algorithms to build reliable, self-improving agents capable of complex, sequential decision-making.

PhD industry sabbatical. Research on the integration of diffusion models into sampling-based planning algorithms.

Division of Robotics, Perception and Learning.

Part-time continuation of previous internship (external/ contractor through Arena Personal Stockholm)

Research internship at Meta AI (FAIR). Reinforcement learning applied to mobile robotics.

Research position at the Institute of Medical Technology. Worked on various applications of machine learning to medical robotics and 3D pose estimation.

Worked on the application of deep reinforcement learning for non-holonomic mobile robot path planning.

Short-term position at the Institute of Traffic Engineering. Worked on a system to automatically detect vehicle turning events from traffic video data.

Internship at the Volkswagen research division. Assisted with the development of a prototype for autonomous driving on a race track.

Pre-study internship