Summary
Daniel Duecker is a Chief of Engineering and senior research scientist at TUM’s Munich Institute of Robotics and Machine Intelligence with a decade of experience turning underwater robotics research into deployable systems. He leads cross-functional engineering teams, defines long-term roadmaps, and oversees labs and research IT to scale prototypes into robust field-ready platforms. His work spans AI-driven mobile robots, multi-robot localization, and infrastructure-free underwater sensing—achievements validated by field trials at MIT and over €700k in secured project funding. A former award-winning doctoral researcher and educator, he also builds hands-on testbeds and remote labs that accelerate student training and industry partnerships. Notably, he blends deep technical expertise in ROS/MOOS-IvP and control systems with strategic program building, making him as comfortable in the lab deploying AUVs as in the boardroom shaping institute growth.
10 years of coding experience
7 years of employment as a software developer
Mechanical Engineering / Control Systems, Mechanical Engineering / Control Systems at University of California, Berkeley
Master of Science (M.Sc.), Mechanical Engineering and Control Systems, Master of Science (M.Sc.), Mechanical Engineering and Control Systems at Hamburg University of Technology
Master of Business Administration (MBA), Technology Management, Master of Business Administration (MBA), Technology Management at NIT Northern Institute of Technology Management
German, English