Papers

4

Total Citations

54

H-Index

3

About

Quanyu Wang is a pioneering researcher in autonomous systems, with a primary focus on agricultural robotics and intelligent control. His most impactful work, "Modelling and Control Methods in Path Tracking Control for Autonomous Agricultural Vehicles: A Review of State of the Art and Challenges" (2023, 34 citations), offers a comprehensive synthesis of vehicle modeling and path-tracking algorithms, establishing a foundational framework for precision agriculture. Wang’s contributions extend to remote robotics, where his 2006 paper on a decentralized Jabber-based Internet architecture for robot control (10 citations) introduced a scalable, fault-tolerant system that enhances operator-robot communication. He has also advanced indoor navigation, developing an iBeacon-based positioning system (2016, 8 citations) that enables real-time localization for autonomous robots and location-based services. Additionally, his work on obstacle avoidance system design (2017, 2 citations) demonstrates his commitment to safe autonomous mobility. Through these contributions, Wang bridges theoretical modeling with practical applications, earning recognition for shaping the future of autonomous vehicles and robotic systems. His research continues to inspire innovations in agricultural automation and intelligent robotics.

Research Focus

Key Achievements

3
H-Index
4
Papers
54
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Modelling and Control Methods in Path Tracking Control for Autonomous Agricultural Vehicles: A Review of State of the Art and Challenges
34 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Ministry of Agriculture and Rural Affairs, Beijing Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago