Papers
39
Total Citations
800
H-Index
15
About
Christian Dondrup is a robotics researcher whose work sits at the intersection of long-term robot autonomy, human-robot interaction, and assistive robotics. He is perhaps best known for his contributions to the STRANDS Project, a landmark initiative exploring how autonomous service robots can operate reliably in real-world environments over extended periods, which has garnered nearly 200 citations and remains a cornerstone reference in the field. His research has advanced mobile robot mapping through spectral analysis techniques designed to handle dynamic, ever-changing environments, and he has made significant contributions to multisensor people tracking and robot navigation in human-populated spaces, helping robots communicate their movement intentions through non-verbal cues. Dondrup has also demonstrated a strong commitment to socially impactful applications, particularly in eldercare. His work deploying companion robots in physical therapy for older adults with dementia, and broader investigations into robot deployment in long-term care settings, reflect a rigorous mixed-methods approach bridging technical and human factors. More recently, he has pushed into conversational AI, developing multi-party dialogue systems powered by large language models for social robots. With a body of work spanning qualitative spatial reasoning, reinforcement learning-based dialogue, and assistive robotics, Dondrup's research consistently addresses the practical challenges of integrating robots meaningfully into human everyday life.
Research Focus
Key Achievements
Top Papers
- 1The STRANDS Project: Long-Term Autonomy in Everyday Environments196 citations · 2017
- 2Spectral analysis for long-term robotic mapping74 citations · 2014
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- 4Real-time multisensor people tracking for human-robot spatial interaction62 citations · 2015
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- 8Robot deployment in long-term care30 citations · 2016
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- 10A Multi-party Conversational Social Robot Using LLMs22 citations · 2024