Robin Dietrich, M.Sc.

Foto von Robin Dietrich

M.Sc. Robin Dietrich

Technische Universität München


Informatik 6 - Lehrstuhl für Robotik, Künstliche Intelligenz und Echtzeitsysteme (Prof. Knoll)

Parkring 11-13(8101)/II
85748 Garching b. München

Curriculum Vitae

Robin received his bachelor's degree in Computer Science from the Hochschule Darmstadt in March 2015 and his master's degree in Computer Science from the University of Stuttgart in August 2017. Beyond that, Robin stayed at UMass Lowell (USA) for one semester during his bachelor's and studied robotics for one year at Oregon State University (USA) during his master's.

In October 2019 Robin joined the Chair of Robotics, Artificial Intelligence and Real-time Systems at the Informatics department as a research assistant. He is working on the neural basis of localization and mapping in mammlian brains in order to use recent findings from neuroscience to build new algorithms for mobile robot navigation. His work is specifically focused on the identification and analysis of temporal dynamics in the hippocampus and its potential application in a neuromorphic SLAM.

Thesis and Project Offers

If you are interested in a thesis or semester project position in the overlapping field of robotics, artificial intelligence and computational neuroscience then have a look at the current offers or contact me to discuss your personal preferences.

Thesis or Projects

  Type Field / Keywords Title Date
Ongoing Bachelor Thesis Spatial Cells, Spiking Neural Networks, Mobile Robot Navigation Exploring Spatial Cell Dynamics in Spiking Neural Networks Trained on a Navigation Task 05/2023
  Master Thesis Spiking Neural Networks, Uncertainty Quantification, Drones Uncertainty Quantification in Spiking Neural Networks for Drone Landings 05/2022
  Master Thesis Edge Computing, Object Detection, AMRs Analysis of Edge Computing Offloading Strategies for Autonomous Mobile Robots 05/2022
  Master Thesis Spiking Neural Networks, Conversion, Feature Extraction, AMRs

Spiking Neural Networks for Feature Extraction Using Neuromorphic Hardware in Autonomous Mobile Robot Navigation

Completed       Master Thesis Evolutionary Optimization, Spiking Neural Networks, Radar Data Clustering Evolutionary Optimization for Spiking Neural Networks - Clustering of FMCW Radar data 11/2022
  Master Thesis

Reward Based Learning, Neuromorphic Engineering, AI, Radar Data Processing

Biologically Inspired Person Following Using FMCW Radar Data 11/2022
  Bachelor Thesis Neuromorphic Engineering, AI, Radar Data Processing, Object Tracking Biologically Inspired Neuromorphic Object Tracking Using FMCW Radar Data 09/2022
  Master Thesis Spiking Neural Networks, RBF Neurons, Radar Data Processing Biologically Inspired Spiking Clustering for Autonomous Driving 05/2022
  Master Thesis Spiking Neural Networks, Attractor Networks, Radar Data Processing A Bio-Inspired Spiking Model for Object Tracking in FMCW-Radar Data 02/2022
  Master Thesis Multi-Robot Navigation, Safety, Path Planning A comparative study on the ability of a mobile robot to safely navigate through diverse dynamic environments 02/2022
  Guided Research Multi-Robot Exploration, SLAM Co-Explore a novel multi-robot exploration metric and framework 12/2021
  Semester Thesis Deep Learning, Object Detection, Mobile Robot Object Detection for an Autonomous Trash Picking Robot 05/2021


WS 2021/22  

Real-Time Systems


SS 2021

Lecture Digital Signal Processing
Seminar Bio-inspired Data Processing and Learning With Neural Networks


WS 2020/21

Lecture Real-Time Systems
Practical Course Intelligent Mobile Robots With ROS


SS 2020

Lecture Digital Signal Processing
Seminar Bio-inspired Data Processing and Learning With Neural Networks


WS 2019/20


Real-Time Systems


Dietrich, Robin. “Deep Learning Based Mutual Robot Detection and Relative Position Estimation.” Master-Thesis, University of Stuttgart, 2018  [Full Text PDF]

Dietrich, Robin, and Stefan Dorr. “Deep Learning-Based Mutual Detection and Collaborative Localization for Mobile Robot Fleets Using Solely 2D LIDAR Sensors,”, IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019  [Full Text PDF]


  • López-Randulfe, Javier; Reeb, Nico; Karimi,Negin; Liu, Chen; Gonzalez, Hector A.; Dietrich, Robin; Vogginger, Bernhard; Mayr, Christian; Knoll, Alois: Time-Coded Spiking Fourier Transform in Neuromorphic Hardware. IEEE Transactions on Computers, 2022 more…
  • Vogginger, Bernhard; Kreutz, Felix; López-Randulfe, Javier; Liu, Chen; Dietrich, Robin; Gonzalez, Hector A; Scholz, Daniel; Reeb, Nico; Auge, Daniel; Hille, Julian; Arsalan, Muhammad; Mirus, Florian; Grassmann, Cyprian; Knoll, Alois; Mayr, Christian: Automotive Radar Processing With Spiking Neural Networks: Concepts and Challenges. Frontiers in Neuroscience, 2022 more…