Ye Yan

Papers

Total Citations

113

H-Index

About

Ye Yan is a pioneering researcher in the intersection of robotics, brain–computer interfaces (BCIs), and autonomous navigation. His work focuses on developing intelligent, adaptive systems that bridge human intention and machine action. Yan’s most influential contribution is his 2021 study on an adaptive asynchronous control system for robotic arms, integrating augmented reality (AR) with BCIs to enhance flexibility and real-world applicability—a work that has garnered 87 citations and set a benchmark for non-invasive neural control. He has also advanced vision-and-language navigation (VLN) for autonomous robots operating in continuous environments, introducing collision avoidance frameworks (Safe-VLN, 2024) that improve safety and reliability in dynamic settings. Additionally, Yan has addressed critical challenges in multi-camera calibration for human pose estimation, proposing auto-calibration methods that eliminate cumbersome manual procedures. His research, spanning from neural decoding to spatial reasoning, has accumulated over 110 citations, reflecting its growing impact on assistive robotics and embodied AI. Yan’s work stands out for its practical focus on real-time adaptability and user-centric design, making him a key figure in the next generation of human-robot interaction systems.