Papers
5
Total Citations
120
H-Index
4
About
Chenhao Yang is a robotics and autonomous systems researcher whose work spans localization, perception, and human-robot interaction, with a particular focus on enabling robots to operate safely and intelligently in real-world environments. His most influential contribution, "Accurate Position Tracking with a Single UWB Anchor" (2020, 65 citations), advanced the field of ultra-wideband-based localization by demonstrating robust robot tracking using minimal hardware infrastructure — a significant step toward practical, cost-effective deployment. Building on perception challenges, his highly cited 2023 work on dynamic obstacle tracking for UAVs using RGB-D cameras (35 citations) addressed a critical gap in autonomous navigation within crowded, unpredictable spaces. Yang has also made meaningful contributions to assistive robotics, developing multi-heterogeneous robot systems for elderly care (11 citations) and a multifunctional intelligent bed integrating multimodal human-robot interaction to support mobility-impaired users. His work on learning-based camera relocalization further reflects his breadth across robot navigation methodologies. Collectively, Yang's research bridges foundational sensing and localization technologies with socially impactful applications, positioning him as a promising contributor to the future of autonomous and assistive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Accurate position tracking with a single UWB anchor65 citations · 2020
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