Master Thesis - Development of a precise navigation solution in confined environments

Fraunhofer-Gesellschaft; Stuttgart; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

An innovative research group is seeking a motivated student to develop autonomous navigation solutions for outdoor mobile robots. This exciting opportunity allows you to work with cutting-edge technology in real-life applications, focusing on enhancing navigation in confined environments. You will implement solutions using C++ and ROS, while collaborating with a leading team in the field of mobile robotics. This role not only offers the chance to contribute to groundbreaking research but also provides a supportive and friendly atmosphere where your ideas can flourish. If you are passionate about robotics and eager to make an impact, this is the perfect opportunity for you!

Leistungen

Responsibility and freedom to implement ideas

Work with leading students

Familiar atmosphere with events like Feature Friday

Qualifikationen

• Enrolled at a German university with a background in relevant fields.
• Profound knowledge of C++ and experience with ROS.

Aufgaben

• Develop a navigation solution for autonomous outdoor robots.
• Examine additional sensor inputs for collision-free navigation.

Kenntnisse

C++

ROS

path planning

mobile robotics

English

German

Ausbildung

Computer Science

Software Engineering

Electrical Engineering

Mechatronics

Jobbeschreibung

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.

Robust and precise navigation is particularly important near walls, narrow passages and nearby objects. Accurate localisation and reliable path following control are essential to reach the destination safely.

What you will do

This thesis focuses on the development of a navigation solution to cope with the challenges in confined environments. The first step is to identify the areas in which inaccuracies occur and thus limit navigation in these environments, for example due to localisation errors or deviations from the planned path. Current approaches lead to blockages or a queue of recovery behaviours. The goal is to derive a more robust solution. Therefore, you will also examine the usage of additional sensor input to ensure collision-free navigation around nearby obstacles. For your implementation with ROS in C++, you will have access to a simulation environment, as well as our outdoor robot CURTmini for regular testing and evaluation.

What you bring to the table

• Background in Computer Science, Software Engineering, Electrical Engineering, Mechatronics or similar

• Enrolled student at a German university

• Profound knowledge of C++

• Experience with ROS

• Background in path planning approaches

• Enthusiasm for mobile robotics

• Fluent in English or German

What you can expect

• A leading research team in outdoor mobile robotics

• You work on our robots in real-life applications

• Responsibility and freedom to implement your own ideas

• Work with the best students in their discipline

• Familiar atmosphere including Feature Friday (cake + presentations or demos)

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!

If you are interested, please upload a short cover letter on your personal favorite topic listed above, CV, and current grade in our job portal.

If you have any questions about the application process, please contact:

Jennifer Leppich
Recruiting
Tel. [phone]

[e-mail]

For questions about the content of the Master's thesis, please contact:

Alexandra Huber

Navigation mobile Roboter

[e-mail]

Fraunhofer Institute for Manufacturing Engineering and Automation IPA

www.ipa.fraunhofer.de

Requisition Number: 78486

Application Deadline: