Shaoguang Hu

Hohai University

Papers

3

Total Citations

7

H-Index

2

About

Shaoguang Hu is a robotics engineer focused on automating high-risk electrical maintenance, particularly for power distribution networks. His research centers on the design, control, and optimization of specialized robots for high-voltage cable stripping—a task traditionally performed manually, with significant safety hazards and low efficiency. Hu’s major contributions include the development of a novel high-voltage-cable stripping robot, detailed in his 2023 papers, which addresses the drawbacks of conventional manual operations. He further advanced this work by integrating a Cascade BP Neural Network-tuned PID controller, achieving precise, adaptive control for the stripping robot. This intelligent control system represents a key innovation, enhancing the robot’s performance in real-world conditions. Although early in his career, Hu’s work has already garnered citations, with his most-cited paper receiving 3 citations. His research directly impacts the safety and efficiency of power grid maintenance, offering a practical solution for the rapidly expanding number of routine operations in 10 kV distribution networks. Hu’s achievements highlight a promising trajectory in the field of service robotics for critical infrastructure.

Research Focus

Key Achievements

2
H-Index
3
Papers
7
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A Cascade BP Neural Network Tuned PID Controller for a High-Voltage Cable-Stripping Robot
3 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Hohai University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago