research lab @ HAW Hamburg

autonomous systems
intelligent sensors
smart mobility concepts
machine learning
embedded programming


autonomous vehicles and research platforms

TinyCar CM4

H0-scale model for miniature autonomy


autonomous vehicle for the TIQ project

H0-scale street platform

H0-scale model for testing miniature automatives and collecting data

Carolo Cup 2020

Competition vehicle for carolo cup 2020 by TeamWorstCase

Miniature H0-Bus

H0-scale vehicle for reinforcement learning

nHAWigatora miniature ship

autonomous ship for research on sensor data integration

Miniature Car

ESP32 processor based autonomous vehicle using image data from micro cam for navigation

Miniature Truck

Machine learning (ML) on a miniature truck with FPGA-based ML acceleration

Carolo Cup 2018

competition vehicle for carolo cup 2018 by Team NAN

Carolo Cup 2018

competition vehicle for carolo cup 2018 by TeamWorstCase

Miniature Car

RPi Zero W processor based autonomous vehicle using image data from micro cam for navigation

furniture mover

Lifting and moving chairs and blackboards to clean up our laboratories

Campus Bot

Human assistance robot for outdoors and indoors


Human assistance robot with 5 dof arm

Carolo Cup 2008-2012

Competition vehicle for carolo cup and algorithm development 2008 - 2012

Carolo-Cup 2006

competition vehicle for carolo cup

Conversation Bot

research platform for wireless and visual communication between bots for development of decentralized swarm algorithms

Human Assistance Robot

ROS based human assistance robot

Red Truck

Model truck for autonomous driving based on laser scanner and IF sensors


combustion motor vehicle for outdoor autonomous driving and testing of control of vehicle dynamics

Industrial Vehicle

autonomous industrial vehicle for research on algorithms, control, industrial bus systems and sensor data integration


Robotik in der Landwirtschaft

KI und Robotik für eine nachhaltige Kreislaufwirtschaft

Innovative Luftgestützte Urbane Mobilität

unsupervised and supervised learning, neural networks, reinforcement learning, embedded machine learning

Urban mobility of tomorrow: safe, available and climate-friendly. Pedestrian Zone Test Area Berliner Tor

Autonome Tauchroboter-gestützte Beobachtung von Fischschwärmen

Student Competition at TU Braunschweig on Construction of Autonomous Model Cars

Development of autonomous systems of small size (scale 1:87) for testing, machine learning and multi-agent algorithms

Code samples in C++




Andreas Meisel

Professor of Image Processing and Machine Learning

Image Processing, Machine Learning, Signal and Control Theory


Martin Becke

Professor of Communication and Distributed Systems

Communication backbone, Distributed algorithms, Protocol design, Service orchestration


Peer Stelldinger

Professor of Theoretical Computer Science, Computer Vision and Machine Learning

Computer Vision, Machine Learning, Neural Networks, 3D Geometry Processing, 2D Signal Theory


Stephan Pareigis

Professor of Applied Mathematics and Technical Computer Science

Autonomous Driving, Embedded Programming and C++, Reinforcment Learning


Tim Tiedemann

Professor of Intelligent Sensors

Intelligent Sensors, Sensor Data Processing, Applications in Autonomous Driving, Machine Learning Methods, Applications of Deep Learning



Daniel Sarnow

Staff member

Distributed systems, Scalable infrastructures, IoT/CPS, Autonomous vehicles, Embedded Programming


Enrico Christophers

Staff member

Autonomous vehicles, Real-time programming, Mechatronic applications, 3D print and construction, Hardware development


Maximilian De Muirier

Staff member

Mechatronics, Robotics, Machine learning, Intelligent sensing


Maximilian Mang

Staff member

Machine learning, IOT, Autonomous driving

Nils Schönherr

Staff member

Autonomous systems, Robotics, Rapid prototyping