Promotion (w/m/d) zum Thema Flexible Robotik für die Materialhandhabung
Core
Research and develop innovative approaches for flexible robotics in material handling, specifically VLA-based skills for setup, assembly, and general operation tasks.
Role type
PhD researcher (36 months) in flexible robotics and AI
Builds
Automated flexible robotic systems for high-mix low-volume production
Domain
Robotics, Artificial Intelligence, Manufacturing
Deliverable
production ML models
Required skills
Machine Learning (Reinforcement Learning, Imitation Learning), Python, Linux, Vision-Language-Action Models (VLAs), Robot Operating System (ROS)
Preferred skills
Experience with World Action Models (WAMs)
Technologies
Python, Reinforcement Learning, Imitation Learning, VLAs, ROS, WAMs
Responsibilities
Develop VLA-based robotics skills for flexible material handling; Automate and simplify the deployment of flexible robotic systems; Design architectures and software systems for robot deployment in high-mix low-volume production
Seniority
PhD Candidate
