Research Assistant · University of Augsburg — Chair of Mechatronics
Autonomous micromobility researcher advancing safety validation through simulation, RL, and pedestrian modeling — bridging mobility, AI, and urban innovation.

• Safety validation for autonomous micromobility in simulation
• Reinforcement learning for decision making and control
• Human-in-the-loop and pedestrian dynamics modeling
• Bridging robotics, AI, and urban mobility

• Python • ROS • CARLA • Reinforcement Learning
• Simulation • Evaluation • Experiment design

• ll7/robot_sf_ll7
  ROS/CARLA-backed experiments for robot–pedestrian interaction using social-force models, focused on micromobility contexts. Includes reproducible scenarios, metrics, and baselines for evaluating safety and behavior fidelity.

• una-auxme/paf
  A modular Perception–Action Framework for autonomous vehicle research and teaching. Provides agents, simulation, and evaluation pipelines to enable safety validation and RL training at scale.

• Designing simulation-first safety validation workflows for micromobility
• RL policies that respect human behavior models and urban context
• Robust evaluation setups to close the sim-to-real gap