Master Thesis - Development of a Deep Reinforcement Learning Navigation for Mobile Outdoor Robots
Advertisement for subjects such as: electrical engineering, computer science, cybernetics, mechatronics or similar. In the Professional Service Robots - Outdoor research group we develop autonomous, mobile robots for a variety of outdoor applications, such as agriculture and forestry. The focus is on the development of an autonomous outdoor navigation solution as well as the hardware of the robots.
For this we are looking for you to contribute to the development of a deep reinforcement learning based goal-orientated navigation for an outdoor mobile robot.
What you will do
Our mobile outdoor robot CURTmini increasingly has to operate in complex uneven terrains, such as coffee plantations in Brazil and vineyards with steep slopes along the Mosel river. For this, you are to become part of the team that develops and tests navigation solutions for outdoor mobile robots. Your work includes the design and implementation of a deep reinforcement learning approach for goal-orientated navigation as well as testing the approach on real robots.
What you bring to the table
What you can expect
We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability.
With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.
Interested? Apply online now. We look forward to getting to know you!
Frau Lisa Bauer lisa.bauer@ipa.fraunhofer.de
Recruiting
Tel. +49 711 970-3681
Fraunhofer Institute for Manufacturing Engineering and Automation IPA
Requisition Number: 67061 Application Deadline:
Job Segment:
Manufacturing Engineer, Electrical Engineering, Computer Science, Engineer, Bilingual, Engineering, Technology