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Urgent! Stud. assistant (m/f/d) - Reinforcement Learning for dynamic in-hand manipulation (in Heilbronn) - Local Job Opening in Stuttgart
Advertisement for the field of study such as: computer science, simulation, robotics or comparable. Robust and repeatable dynamic in-hand manipulation is an essential skill for enabling generalized robotic automation solutions. The place of work would be in Heilbronn. What you will do
The focus of this project is to develop a sim-to-real pipeline for training robotic hands for in-hand manipulation of objects.
Key parts of this project will include fine-tuning simulation models of robot hands to accurately capture the physics of their real counterparts, using deep reinforcement learning to train policies for in-hand manipulation of various objects in simulation (i.e. Isaac Sim), improving contact and force modeling within the simulation and deploying the learned policies on the real robot.
Propose and implement strategy for domain randomization that improves policy transfer to the real robot.
Conceptualize and implement solutions for quick deployment of robust policies across a wide range of automation challenges
Log success rate, cycle time, final grasp stability and feasibility.
Evaluate performance on varied objects.
Identify failure conditions in sim and real and propose strategies to improve performance
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.
Remuneration according to the general works agreement for employing assistant staff.
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!
Ms. Jennifer Leppich
Recruiting
+49 711 970-1415
Fraunhofer Institute for Manufacturing Engineering and Automation IPA
Requisition Number: 81788 Application Deadline:
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Great news! Fraunhofer-Gesellschaft is currently hiring and seeking a Stud. assistant (m/f/d) Reinforcement Learning for dynamic in hand manipulation (in Heilbronn) to join their team. Feel free to download the job details.
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