The Professors of the Study Program
Here you can find an overview of the Working Group Leaders of both institues, who are responsible for the realization of the courses. If you want to have more information about the working groups, you can click on the respective button.
Wolfram Barfuss
Genscherallee 3
53113 Bonn
Research Topcis
- Integrated Systems Modeling,
- Complex Systems,
- Sustainability Transitions,
- Reinforcement Learning,
- Collective Learning
"My team and I create formal models of collective learning to gain insights into how - in complex environments - individual choices evolve into collective actions that can sustain our ecological life-support system and promote a good life for all."
Research Topcis
- Scene Perception for Automomous Vehicles using LiDARs and Cameras
- Image Interpretation for Agricultural Robotics
"Autonomous robots require to understand our environment for making smart decisions and ensure reliable autonomy. Using deep learning for scene perception made significant progress over the last decade and turning these capabilities into scene understanding is the main goal of my research with applications to autonomous driving and perception for agricultural robots."
Sven Behnke
0.046
Friedrich-Hirzebruch-Allee 8
53115 Bonn
Research Topcis
- Cognitive Robotics
- Computer Vision
- Machine Learning
"My objective is to develop methods that enable autonomous robots to cope with the complexity of real-world open-ended environments, to learn new tasks quickly, to improve their skills through practice, to recognize and mitigate errors, and to know their limitations."
Maren Bennewitz
2.022
Friedrich-Hirzebruch-Allee 8
53115 Bonn
Research Topcis
- Active Perception
- Intelligent Manipulation
- Motion Planning and Navigation in Dynamic Environments
- Personlized Human-Robot Interaction
"Our lab is at the forefront of robotics research, where we explore innovative ways to integrate robots into human environments and contribute to cutting-edge projects, combining AI and robotics for personalized robot service, cultural heritage, and sustainable agriculture."
Juergen Gall
2.037
Friedrich-Hirzebruch-Allee 8
53115 Bonn
Research Topcis
- Action Recognition and Video Understanding,
- Anticipation and Forecasting,
- Human Pose Estimation
"Robots collaborating with humans need not only to perceive the current situation, but they need to anticipate human actions and the resulting future situations in order to plan their own actions."
Research Topcis
- Aerial and Ground-based Mobile Sensing
- Trajectory Estimation
- Point Cloud Processing
- Phenotyping & Crop Monitoring
- 3D Reality Capture
- Accuracy Evaluation
"Mobile sensing systems are becoming more and more relevant in many application areas, such as surveying, environmental monitoring and agriculture. My research deals with many aspects of those systems, from the measurement process to the generation and evaluation of the results."
Research Topcis
- Laserscanning
- Positioning with GNSS
- Trajectory Estimation
- Sensor Calibration
- Surface Desciption
"Mobile robots are able to collect data from their surroundings, whereas - in my domain - the scale reaches
from plant organs to cities. My research focusses on the quality of the data and the translation of
application requirements into measurement processes."
Chris McCool
0.004
Nussallee 5
53115 Bonn
Research Topcis
- Robotic Vision
- Agriculture Robotics
- Machine Learning
- Artificial Intelligence
- Field Robotics
"Our work is centered on robotic/computer vision to enable robots and autonomous systems to work in challenging environments (especially agriculture). To enable robots to work in challenging fields, such as agriculture, we need to build autonomous systems which are underpinned by scalable and efficient learning-based approaches."
Research Topcis
- Explainable Machine Learning,
- Data-centric Machine Learning,
- Representation Learning,
- Applied Machine Learning for Agricultural and Environmental Science
"I am passionate about developing machine learning models that not only perform well but are also explainable and practical—while exploring how to select the right data for effective models, particularly across different disciplines."
Research Topcis
- Perception,
- State Estimation,
- Learning for Autonomous Driving,
- Robots in Agriculture,
- Service Robotics
"Intelligent robots and autonomous systems must understand and model their surroundings to act smartly. Our lab focuses on probabilistic and learning techniques that enable mobile robots and autonomous cars to boost their performance in the real world."