Job
In this role, you will work intensively on Robot Learning and Imitation Learning, set up a dual-arm teleoperation platform, define manipulation tasks, and evaluate learning-based approaches in mechanical engineering.
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Job technologies
Your role in the team
- After comprehensive onboarding, you will work intensively with modern methods in robot learning, imitation learning, and vision-language-action models.
- You will commission an existing dual-arm teleoperation platform based on Hugging Face LeRobot and SO-ARM101 and build a reproducible development and training environment.
- You research current robot learning approaches, compare suitable models, and select a method for practical implementation.
- You define a suitable manipulation task in the context of paper bag manufacturing and record demonstration data for it via teleoperation.
- You train or adapt a suitable model and implement the autonomous execution of the selected task.
- You conduct systematic field tests and evaluate the system in terms of reliability, robustness, training requirements, and transferability to other industrial applications.
- Based on your findings, you will develop a well-founded assessment of the opportunities and limitations of learning-based robotics in mechanical engineering.
Our expectations of you
Qualifications
- You are currently studying computer science, electrical engineering, automation engineering, mechatronics, mechanical engineering, or a comparable field.
- You are passionate about robotics, artificial intelligence, and modern machine learning techniques.
- You are interested in applying the latest research findings to real-world automation tasks.
- You have a structured and analytical approach to work and demonstrate a high level of motivation and willingness to learn.
- You have a good command of English and are familiar with the standard MS Office applications.
Experience
- Ideally, you already have some initial experience with Python, Linux, computer vision, or machine learning frameworks.
What we offer
- Our way of working is characterized by a collaborative spirit, personal responsibility, and a solution-oriented approach.
- This work philosophy is very important to GARANT and is supported, among other things, by flexible working hours, modern office facilities, an in-house restaurant, a well-established workplace health management program, and much more.
Benefits
Work-Life-Integration
Higher take-home pay
Food & drink
Topics you will work on
Job locations
About your employer
Windmöller & Hölscher KG, based in Lengerich im Tecklenburger Land, is a German machine engineering company and international provider of machines for the production and processing of flexible packaging.
- 250+ Employees
- Established Company
- Onsite, Hybrid
- Engineering Industry
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