Jianye Huang

Fujian Electric Power Survey & Design Institute

Papers

1

Total Citations

6

H-Index

1

About

Jianye Huang is a robotics researcher whose work centers on the automation of high-risk electrical maintenance tasks, with a particular focus on smart live working robots for power distribution networks. His most-cited paper, "Application of Improved S-Curve Flexible Acceleration and Deceleration Algorithm in Smart Live Working Robot" (2021, 6 citations), addresses a critical challenge in robotic precision: mitigating the mechanical strike and shake that occur during automatic wire stripping. By developing an improved S-curve acceleration and deceleration algorithm, Huang enhanced the stability and reliability of robotic manipulators operating in live-line environments—where even minor errors can be catastrophic. This contribution directly supports the broader goal of increasing automation rates in power grid maintenance, reducing human exposure to electrical hazards. Huang’s work bridges control theory and practical field robotics, demonstrating how refined motion planning can transform industrial safety and efficiency. Though his citation count is modest, the applied nature of his research underscores its immediate relevance to utility companies and robotics engineers seeking to deploy autonomous systems in dangerous, real-world settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Application of Improved S-Curve Flexible Acceleration and Deceleration Algorithm in Smart Live Working Robot
6 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Fujian Electric Power Survey & Design Institute

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago