Daniel Homburg
Papers
1
Total Citations
11
H-Index
1
About
Daniel Homburg is a pioneering researcher at the intersection of human-robot interaction and accessibility technology, with a primary focus on developing inclusive communication systems for the Deaf and hard-of-hearing community. His most notable contribution, the 2019 study "RoboTalk - Prototyping a Humanoid Robot as Speech-to-Sign Language Translator," represents a paradigm shift in assistive technology. Rather than pursuing traditional sign language recognition, Homburg boldly investigated whether humanoid robots could serve as effective avatars for sign language translation—a novel approach that bridges robotics and Deaf communication needs. This work, which has garnered 11 citations, included a critical survey of 50 deaf participants to understand their preferences, demonstrating his commitment to user-centered design. By challenging conventional assumptions about sign language technology, Homburg has opened new avenues for research in accessible robotics, making him a key figure in the growing field of inclusive human-robot interaction. His work continues to inspire researchers exploring how embodied AI can serve marginalized communities.
Research Focus
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Top Papers
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