Andreas Ziegler is a robotics and computer vision researcher-engineer with 10 years of industry and academic experience, currently pursuing a PhD at the University of Tübingen in collaboration with Sony AI on event-based vision for ultra-fast robot control. His background spans applied robotics (AMR systems, multi-robot collision avoidance, sensor fusion) and research internships at Prophesee, Pix4D and Disney Research, bridging real-world product needs with cutting-edge perception research. He holds an MSc from ETH Zürich and brings hands-on systems experience from firmware and embedded work to full-stack infrastructure and production CV pipelines. Notably, he has translated event and frame data into practical outputs such as slow-motion reconstruction and safety field intrusion detection, showing a knack for turning novel sensors into deployable features. Based in Stäfa, Switzerland, he combines rigorous academic training with a pragmatic engineering mindset and experience coordinating cross-disciplinary teams.
10 years of coding experience
12 years of employment as a software developer
Berufsmatura Electrical and Electronics Engineering, Berufsmatura Electrical and Electronics Engineering at Berufsbildungszentrum Uster
Bachelor of Science (B.Sc.) Electrical Engineering, Bachelor of Science (B.Sc.) Electrical Engineering at University of Applied Sciences of Eastern Switzerland
Master’s Degree Information Technology and Electrical Engineering, Master’s Degree Information Technology and Electrical Engineering at ETH Zürich
Exchange Student Electrical and Information Engineering Chinese Language, Exchange Student Electrical and Information Engineering Chinese Language at Shanghai Jiao Tong University
Contributions:108 pushes, 4 branches in 6 years 10 months
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Andreas Ziegler - PhD Candidate In Robotics And Computer Vision