About

Guotian He is a leading researcher in intelligent robotics and autonomous systems, with a primary focus on industrial robot control, sensor integration, and navigation technologies. His most influential work, "Fuzzy PID control method of deburring industrial robots" (2015, 31 citations), introduced an adaptive fuzzy PID controller that dynamically updates parameters in real-time to ensure precise trajectory accuracy for deburring tasks—a critical contribution to manufacturing automation. He further advanced robotic sensing with "Leather-based printed tactile sensor array for robotic interactive skin" (2024, 14 citations), pioneering flexible, durable tactile sensors for human-robot interaction. In autonomous navigation, his work on "Algorithm for autonomous navigation of mobile robot measurements based on Beidou/laser radar" (2017) combines Beidou satellite positioning with laser radar for robust obstacle avoidance, enhancing mobile robot autonomy. With over 47 citations across his top papers, He’s research bridges control theory, sensor technology, and navigation algorithms, offering practical solutions for industrial and service robotics. His innovative use of fuzzy logic and multi-sensor fusion continues to shape the future of intelligent, adaptive robotic systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
47
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Fuzzy PID control method of deburring industrial robots
31 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Chinese Academy of Sciences, Chongqing Institute of Green and Intelligent Technology, Beihang University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago