Junzhi Yu
Shandong Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Peking University, Shenyang Institute of Automation, Beijing Institute of Technology, Institute of Automation, Shihezi University, State Key Laboratory of Turbulence and Complex Systems, Universität Hamburg, Beijing Academy of Artificial Intelligence, Shandong Jianzhu University
Papers
328
Total Citations
8,166
H-Index
49
About
Junzhi Yu is a prominent robotics researcher whose work spans bioinspired robotics, underwater systems, and intelligent control. Best known for his pioneering contributions to biomimetic locomotion, Yu has shaped the field through foundational surveys and experimental breakthroughs, most notably his highly cited 2013 survey on central pattern generator (CPG)-inspired control models (297 citations), which became an essential reference for researchers developing biologically motivated locomotion systems. Yu's work on aquatic robotics is particularly distinguished. He led the development of a fast-swimming dolphin robot capable of leaping out of water — a landmark achievement in biomimetic engineering — and designed soft manipulators for delicate underwater grasping (224 citations), addressing real-world marine collection challenges. His amphibious robot research further demonstrated multimodal locomotion inspired by nature's most adaptable creatures. Beyond individual platforms, Yu has advanced multi-robot coordination, underwater visual enhancement using GANs, and path planning for industrial robots, reflecting a remarkably broad yet cohesive research vision. His comprehensive survey on underwater multi-robot systems (137 citations) highlights his influence on emerging ocean robotics. With multiple papers exceeding 100 citations, Yu's contributions have significantly shaped modern aquatic and bioinspired robotics research globally.
Research Focus
Key Achievements
Top Papers
- 1A Survey on CPG-Inspired Control Models and System Implementation297 citations · 2013
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- 4On a Bio-inspired Amphibious Robot Capable of Multimodal Motion175 citations · 2011
- 5Towards Real-Time Advancement of Underwater Visual Quality With GAN141 citations · 2019
- 6A Survey of Underwater Multi-Robot Systems137 citations · 2021
- 7Motion Control and Motion Coordination of Bionic Robotic Fish: A Review134 citations · 2018
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- 9Optimal Formation of Multirobot Systems Based on a Recurrent Neural Network108 citations · 2015
- 10Development of a Fast-Swimming Dolphin Robot Capable of Leaping104 citations · 2016