Liu Ziguo | Robotics | Best Researcher Award

Mr. Liu Ziguo |  Robotics | Best Researcher Award

Chongqing University,  China

Ziguo Liu is a graduate student at the School of Automation, Chongqing University. His research focuses on robot control, multi-agent system control, and prescribed-time control. He has published one SCI-indexed journal article addressing advanced control strategies for multi-agent systems and holds three patents (published or under review). His recent work introduces a finite time-varying gain method to solve rotating containment control problems involving multiple moving leaders. Ziguo Liu’s research contributes to simplifying control system design using polar coordinate approaches and has practical relevance in automation and robotics.

Profile:

📚 Academic Background & Interests:

Ziguo Liu is currently pursuing his graduate studies at Chongqing University. His research focuses on cutting-edge topics in:

  • 🤖 Robot Control

  • 🤝 Multi-Agent System (MAS) Control

  • ⏱️ Prescribed-Time Control

🧪 Research and Innovation Highlights:

  • Published Journal Article (SCI):
    “Prescribed-Time Rotating Containment Control with Moving Leaders”
    🔗 Read Article

  • 🔬 Research Projects: 1 completed

  • 🧾 Patents: 3 (Published/Under Process)

  • 📘 Books: None

  • 🤝 Industry/Consultancy Projects: None

🚀 Key Contribution:

Ziguo Liu proposed a novel polar coordinate-based method to simplify the rotating containment control problem in MASs. His work enables advanced prescribed-time control strategies using finite time-varying gain, especially useful in coordinating multiple moving robotic leaders.

🌐 Additional Info:

  • 🧑‍🔬 No editorial roles yet

  • 🌍 No international collaborations listed

  • 🎓 No formal professional memberships mentioned yet

Publication:

Finite-gain based prescribed-time rotating containment control for second-order multi-agent systems
Journal of the Franklin Institute, May 2025
DOI: 10.1016/j.jfranklin.2025.107721
Authors: Ziguo Liu, Yujuan Wang, Qing Chen

Yang Yu | Robotics and Automation | Best Researcher Award

Dr. Yang Yu | Robotics and Automation | Best Researcher Award

Assistant research fellow Jiangsu University China

Yang Yu is an accomplished researcher in agricultural engineering, serving as an Assistant Researcher at Jiangsu University’s School of Agricultural Engineering. With a strong background in agricultural mechanization and informatics, Yang’s expertise lies in intelligent agricultural equipment and precision farming techniques.

Profile

Scopus

🎓 Education:

  • Ph.D. in Agricultural Mechanization Engineering, China Agricultural University (2017-2021)
  • Master’s in Agricultural Informatization, Henan Agricultural University (2015-2017)
  • Bachelor’s in Software Engineering, Henan Agricultural University (2010-2014)

🧑‍🔬 Experience:

  • Assistant Researcher, School of Agricultural Engineering, Jiangsu University (2023-present)
  • Assistant Researcher, Key Laboratory of Intelligent Agricultural Equipment Theory and Technology, Jiangsu University (2022-present)
  • Assistant Researcher, School of Agricultural Engineering, Jiangsu University (2021-2022)
  • Active Post-Doc, Jiangsu University (2022-present)

🔬 Research Interests:

Yang Yu’s research focuses on developing advanced methodologies and technologies in intelligent agricultural equipment, multi-sensor information fusion, and precision farming for crop yield optimization. His work emphasizes efficient, non-clogging harvesting and dynamic soil analysis for tailored agricultural practices.

🏆 Awards:

  • Ongoing contributor to nationally funded agricultural research projects.
  • Participant in prestigious initiatives like the National Natural Science Foundation of China and the National “13th Five-Year” Key R&D Program.

📄 Publications Top Notes:

Publication Title 1, Published in Journal Name (Year), Cited by X articles. [Hyperlink]

Publication Title 2, Published in Journal Name (Year), Cited by X articles. [Hyperlink]
(Full list and citations are customized based on further details)

National Natural Science Foundation of China, High-efficiency Non-clogging Harvesting Method for High-yield Super Rice, 2023-2026.

National Natural Science Foundation of China, Precise Variable-rate Corn Seeding Method, 2021-2024.

Ministry of Science and Technology, Variable Fertilization Operation Condition Detection Technology Device, 2017-2021.