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About

Tobias Doernbach is a leading researcher in human-robot interaction and underwater robotics, with a focus on making complex robotic systems accessible to non-experts. His work bridges the gap between advanced automation and real-world usability, particularly in challenging marine environments. Doernbach’s most cited paper (67 citations) tackles dexterous underwater manipulation from onshore locations, streamlining remotely operated vehicle (ROV) operations by reducing offshore crew requirements—a major efficiency gain for deep-sea tasks. He also pioneered robust gesture-based communication for autonomous underwater vehicles (AUVs) aiding search-and-rescue divers, developing the CADDIAN gesture language (17 citations). Beyond underwater domains, Doernbach explores telepresence and embodiment in healthcare, investigating how robotic presence affects patient perception in remote consultations (5 citations). His recent work on visual programming and digital twins (28 citations) empowers untrained users to intuitively shape robot behavior, democratizing robotics for everyday scenarios. With contributions spanning high-fidelity deep-sea perception, simulation-in-the-loop validation, and intuitive human-robot interfaces, Doernbach’s research consistently emphasizes safety, efficiency, and user-centered design—making him a pivotal figure in advancing accessible, reliable robotic systems for critical applications.