Internship - Robotics (m/f/d)
vor 2 Monaten
What you're keen to do
- Assist in researching, developing and benchmarking robotics planning algorithms.
- Use simulation tools to create a variety of test environments that mirror real-world navigation challenges.
- Gather real world and synthetic data to analyse the robot's performance.
- Benchmark open-source planning algorithms and other robotics modules.
- Write research reports and document findings.
- Ongoing MS in Computer Science, Robotics, or related fields.
- Experience with robotics development frameworks such as ROS 2
- Good programming skills in C++; Python knowledge is a plus.
- Fluent in English; German language skills are a bonus.
- Any previous experience with programming autonomous mobile robots is a plus.
At idealworks we give your passion the space to grow and develop within a up-and-coming brand in the BMW Group's corporate portfolio.
With us, you will find an multicultural work environment and become part of an experienced, open minded team which puts value on mutual trust and you will feel comfortable with from the get go.
Located in the immediate vicinity of the OEZ, our office is easy to reach by public transport, bike and car and offers numerous catering options for a relaxed lunch break.
Driven by our unique corporate culture, the five values "passion for results", "well-being", "personal growth", "thrust" and "being and acting as one team" determine our daily actions and cooperation.
As a forward-thinking deep tech company, idealworks has been enabling the future of logistics and industrial automation since November 2020. Its flexible, scalable robotics ecosystem, featuring the intelligent automation platform AnyFleet for seamless mobile robot integration, the CE-certified autonomous mobile robot (AMR) , and the advanced robotics operating system , is reshaping intralogistics processes for companies globally. Emerging from its roots as a BMW Group spinoff, idealworks is committed to driving efficiency and operational optimization in a rapidly evolving automation landscape.
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