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Thesis: Robot grasp recommendation system using Deep Q-Networks (m/f/d)



Stuttgart, Germany
Posted on Wednesday, November 8, 2023
About Sereact:

Sereact is a pioneer in AI-powered robotics for autonomous warehouses. With our innovative pick-and-pack automation solution, we assist logistics businesses around the world in boosting productivity and minimizing costs of their intralogistics. This is an opportunity to join our dedicated team and contribute to the growth of this exciting industry. Sereact’s technology is being used by clients in different industries, including e-commerce logistics company Zenfulfillment, automotive manufacturer Daimler Truck and third party logistics provider Material Bank.

Key Responsibilities:
  • Develop deep reinforcement learning models like DQN and RLHF
  • Collect and annotate real-time data from the vision models deployed in the robot cell
  • Modify the deep learning models for vision-based state-action space
  • Furthermore, modify DQN to act as a recommendation system
  • Computer Science, Information technology, Robotics, and related studies
  • Experience in Python, PyTorch, and Git for programming
  • Familiarity with computer vision, reinforcement learning, and deep learning
  • Fluent English communication skills
  • Similar programming records on GitHub or any other open platforms
  • Experience working with robots and 3D cameras
  • Knowledge of mathematics for intelligent systems
Company Benefits:
  • A dynamic and supportive work environment
  • Flexible working hours and the possibility to work remotely
  • Ownership from day one
  • Possibility to shape your own career
  • Build a company & sales machinery shoulder to shoulder with the founders
  • Work with newest industry tech stack
  • Gym plan 
  • Workations and team events

You think you are the perfect fit for us? Send your application with CV (in German or English) and relevant references to