Scholar
Sebastian Höfer
Google Scholar ID: srCW5e4AAAAJ
Manager Applied Science, Amazon Fulfillment Technologies & Robotics
Citations & Impact
Citations
693
H-index
10
i10-index
10
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- 1. Published a short paper on Sim2Real in Robotics and Automation in IEEE Transactions on Automation Science and Engineering.
- 2. Lead organizer of the sim2real for robotics workshop, colocated with R:SS 2019 and R:SS 2020, and wrote a summary paper about the 2020 edition of the workshop.
- 3. In May 2015, his Team RBO won a prestigious international robotics challenge. The lessons learned paper won the Best Systems Paper award at RSS 2016; the paper on the perception system was nominated for Best Paper Award at IROS 2016.
- 4. Published a research paper on learning state representations in multi-task reinforcement learning.
- 5. Published a paper titled 'No free lunch in ball catching: A comparison of Cartesian and angular representations for control'.
- 6. PhD thesis: 'On Decomposability in Robot Reinforcement Learning', which studied problems in robot learning, specifically ball catching and learning to manipulate articulated objects, and developed a conceptual framework for understanding solutions to these problems: the spectrum of decomposability.
Research Experience
- Currently an Applied Science Manager at Amazon Fulfillment Technologies & Robotics. Previously, he conducted research at the Robotics & Biology Lab, TU Berlin.
Education
- PhD from the Robotics & Biology Lab, TU Berlin.
Background
- Research interests: machine learning, computer vision, and robotics applications. In his spare time, he also makes music.
Miscellany
- Personal interests: Making music.
Co-authors