Engineer (f/m/d) Perception methods for the navigation of humanoid robots

The Institute of Robotics and Mechatronics develops robots that enable humans to interact with the environment more efficiently, effectively and safely. The robots are designed to work in environments that are inaccessible or dangerous for humans, but also to support and relieve people at work and in everyday life.

What to expect

The Perception and Cognition department is concerned with providing robotic systems with the ability of visual perception and mastering the associated cognitive tasks. Perception and cognition are therefore elementary components for both teleoperated assistance and autonomous robot systems, as they make reactive behaviour, attention control and situation interpretation possible in the first place. One fundamental capability is depth estimation from stereo images, which is already being used in a variety of ways at the institute.

Your tasks

• recognition of perception methods for whole-body loco manipulation
• recognition of suitable foot contact points
• recognition of hand positions and grasps in the environment
• develop methods from the field of generative AI, especially those based on diffusion models
• map creation and localisation with the help of humanoid robots
• development of methods for the real-time creation of elevation maps
• development of semantic segmentations and for recognising suitable footfall areas from 3D point cloud data

Your profile

• completed scientific university degree (Master's/University Diploma) in engineering (e.g. from the fields of engineering, robotics, computer science) or other degree programmes relevant to the job with a focus on signal and image processing
• very good programming skills in C++/Python
  practical experience in the field of software engineering
• strong problem-solving skills at the interface between hardware and software
• fluent in written and spoken English
• bility to work effectively in interdisciplinary teams

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 4852) please contact:

Prof. Dr. Rudolph Triebel

Tel.: +49 8153 28 4289