Robin Dietrich

Robin Dietrich is a Researcher at the Department of Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems at the Technical University of Munich. His work bridges computational neuroscience and robotics, focusing on translating neural mechanisms from mammalian brains into algorithms for mobile robot navigation.

• B.Sc. and M.Sc. in Computer Science
• Research on hippocampal temporal dynamics for neuromorphic SLAM
• Specializes in spiking neural networks for navigation and radar processing

Research Interests:
Robin's research explores the intersection of robotics, artificial intelligence, and computational neuroscience. His work specifically investigates spiking neural networks, FMCW radar data processing, and neuromorphic algorithms for autonomous systems. Recent projects focus on uncertainty quantification, evolutionary optimization, and multi-robot exploration using biologically inspired models.

Publication Trends:
Robin's publications (2019-2025) demonstrate a consistent focus on neuromorphic computing for robotic perception, with increasing specialization in spiking neural networks for radar processing and biologically inspired navigation algorithms. Key collaborations include contributions to multi-robot exploration metrics and hardware acceleration frameworks.

Teaching Contributions:
Robin has taught Digital Signal Processing and Real-Time Systems lectures since 2019, co-led seminars on Bio-inspired Data Processing, and supervised practical courses on Intelligent Mobile Robots using ROS.