Postdoktor inom Robotlärande för manipulation
Core
Researching robot learning for manipulation, specifically exploring Vision-Language-Action (VLA) models for table-top, mobile, or dexterous manipulation to enable robots to solve complex, contact-rich tasks in dynamic environments.
Role type
Postdoctoral Researcher (Robot Learning & Manipulation)
Builds
Research outputs and experimental validation of VLA models and manipulation strategies.
Domain
Robotics and Machine Learning
Deliverable
research
Required skills
Deep learning, Reinforcement learning, Imitation learning, Robot perception, Navigation, Grasping, Dexterous manipulation, Mobile manipulation
Preferred skills
Whole-body control, Humanoid platforms, Multi-fingered hands, Tactile sensing, Simulation-based manipulation, Real-world system deployment
Technologies
VLA models, Deep learning frameworks, Reinforcement learning libraries, Robot simulation environments
Responsibilities
Develop and evaluate VLA models for manipulation tasks; Conduct experiments on base-arm-hand coordination in dynamic environments; Publish research findings; Collaborate on perception and control strategies.
Seniority
Postdoctoral (Early-career researcher)
