Yipeng Zhu

Zhejiang Ocean University, Zhejiang University

Papers

Total Citations

H-Index

About

Yipeng Zhu is a pioneering researcher at the intersection of autonomous systems, sensor fusion, and biomechanical engineering. His work primarily focuses on developing robust perception and tracking systems for autonomous driving, human-robot interaction, and assistive robotics. Zhu’s most impactful contribution is his 2022 study on adaptive multi-pedestrian tracking, which fuses monocular 3D detection with millimeter-wave radar data—a method that has garnered 17 citations for its practical approach to reliable multi-sensor tracking in varied environments. He also advanced human-following robotics with a novel tracking system combining MMW radar and monocular vision, earning 7 citations for its real-world prototype validation. Beyond autonomous perception, Zhu has made notable strides in biomechanics with his 2018 biomimetic knee joint design, cited 15 times, which replicates the elastic, rolling, and sliding mechanics of the human knee to reduce actuator size—a breakthrough for prosthetic and robotic joint efficiency. His work demonstrates a rare ability to bridge sensing technology and mechanical design, offering scalable solutions for safer autonomous systems and more natural assistive devices.