Job Description
Current segmentation techniques are passive: an image is taken and various algorithms try to understand what objects are in the image. We propose to use a robotic arm in cluttered environments in order to improve the segmentation algorithm in hand by using the arm to move objects to understand actively what objects are in the image. For example., we expect that moving objects in a box can provide useful information for segmentation.
You are expected to:
- Publish a paper.
- Make an impact on solutions that Bosch develops.
Qualifications
- Learning towards a PhD or MsC in CS/EE/ME or other equivalents degree.
- Knowledge in Machine Learning, and at least one of the following: Reinforcement Learning, Computer Vision.
- Strong competency in Python and Deep Learning frameworks.
- Good SW engineering capabilities.
General skills:
- Initiative, highly motivated and motivating character for the team and partners.
- Ability and willingness to define a research agenda to solve real-world problems.
- Self-confident and responsible team player with excellent communication skills.
- Like to work in an interdisciplinary as well as international team.
Who is the target candidate?
- One who would like to gain some experience in the intersection of Robotics, AI and RL.
