Carl Zeiss AG
Internship in Mechatronic Engineering for Agricultural Robotics(m/w/x)
Full-timeInternshipOn-site
Karlsruhe
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CACarl Zeiss AG
Internship in Motion Generation for Agricultural Robotics(m/w/x)
Karlsruhe
Full-timeInternshipOn-site
Nejo AI Summary
Developing motion generation algorithms for mobile agricultural robots in greenhouses. Master's degree in a relevant field and C++/Python coding skills required. Testing on real hardware, start-up environment.
Requirements
- Master’s degree in robotics, computer science, electrical, mechanical engineering or related field
- Good foundation in robotics, kinematics, dynamics, motion planning, control theory, optimization, or machine learning
- Good coding skills with C++ and Python
- Hands-on experience with ROS 2, Pinocchio, Drake, MoveIt, Tesseract, ros2_control or LeRobot is a plus
- High motivation and openness to learn new skills
- Ability to work well in an interdisciplinary, international team
- Excellent command of English
Tasks
- Develop and evaluate motion generation algorithms
- Implement state-of-the-art motion planning techniques
- Refactor and maintain robotics codebase
- Test algorithms on real hardware in greenhouses
- Contribute to a dynamic, start-up minded team
- Gain hands-on experience in a research environment
- Tackle technical challenges in agricultural automation
Education
- Currently in higher education
Languages
- English – Native
- German – Basic
Tools & Technologies
- C++
- Python
- ROS 2
- Pinocchio
- Drake
- MoveIt
- Tesseract
- ros2_control
- LeRobot
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Carl Zeiss AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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CACarl Zeiss AG
Internship in Motion Generation for Agricultural Robotics(m/w/x)
Karlsruhe
Full-timeInternshipOn-site
Nejo AI Summary
Developing motion generation algorithms for mobile agricultural robots in greenhouses. Master's degree in a relevant field and C++/Python coding skills required. Testing on real hardware, start-up environment.
Requirements
- Master’s degree in robotics, computer science, electrical, mechanical engineering or related field
- Good foundation in robotics, kinematics, dynamics, motion planning, control theory, optimization, or machine learning
- Good coding skills with C++ and Python
- Hands-on experience with ROS 2, Pinocchio, Drake, MoveIt, Tesseract, ros2_control or LeRobot is a plus
- High motivation and openness to learn new skills
- Ability to work well in an interdisciplinary, international team
- Excellent command of English
Tasks
- Develop and evaluate motion generation algorithms
- Implement state-of-the-art motion planning techniques
- Refactor and maintain robotics codebase
- Test algorithms on real hardware in greenhouses
- Contribute to a dynamic, start-up minded team
- Gain hands-on experience in a research environment
- Tackle technical challenges in agricultural automation
Education
- Currently in higher education
Languages
- English – Native
- German – Basic
Tools & Technologies
- C++
- Python
- ROS 2
- Pinocchio
- Drake
- MoveIt
- Tesseract
- ros2_control
- LeRobot
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Carl Zeiss AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Carl Zeiss AG
Industry
Agriculture
Description
Das Unternehmen vereint Innovation und Verantwortung und trägt entscheidend zur strategischen Ausrichtung und zum nachhaltigen Erfolg der ZEISS Gruppe bei.
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