Papers

4

Total Citations

15

H-Index

3

About

Zhipeng Jiang is a robotics researcher whose work focuses on the design and control of specialized robots for electric power infrastructure inspection and maintenance. His key research areas include robot pose optimization, dynamic simulation, and autonomous deployment mechanisms for high-voltage environments. Jiang’s most significant contribution is the development of a spectral clustering-guided multi-objective seagull optimization algorithm (MOSSA) for robot pose optimization, which accounts for the flexibility of both the robot structure and its mounting base—a critical factor for real-world deployment. This work, published in 2025, has already garnered 7 citations, demonstrating its immediate impact. He has also designed a single-arm inspection robot for overhead transmission lines, a miniature maintenance robot for GIS equipment in 220kV substations, and an automatic hanging mechanism for UAVs to assist with high-voltage line maintenance. These projects address the growing need for automated live-line maintenance, aiming to reduce human risk and improve operational efficiency. Jiang’s research is particularly notable for its practical focus on solving real-world challenges in the power industry, bridging the gap between robotic theory and field application.

Research Focus

Key Achievements

3
H-Index
4
Papers
15
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Robot pose optimization based on spectral clustering guided MOSSA considering the flexibility of robot structure and mounting base
7 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Harbin University of Science and Technology, Changsha University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago