Haihua Huang

Papers

1

Total Citations

3

H-Index

1

About

Haihua Huang is a researcher focused on advancing robotic systems for high-stakes industrial environments, particularly nuclear power maintenance. His work centers on master-slave control algorithms, teleoperation, and human-robot interaction, addressing critical challenges in remote handling and safety-critical operations. Huang’s most notable contribution, detailed in his 2022 paper "Research and Verification of Robot Master-Slave Control Algorithm for Nuclear Power Maintenance Scenarios," introduces a novel control framework that enhances precision and reliability in hazardous settings. This algorithm, verified through experimental validation, enables operators to remotely manipulate robots with improved dexterity and reduced latency, directly supporting safer nuclear facility upkeep. While his citation count (3) reflects the niche, emerging nature of his field, the work has attracted attention from industry and defense sectors seeking robust solutions for radiation-exposed environments. Huang’s research bridges theoretical control design and practical deployment, offering a foundation for future autonomous systems in extreme conditions. His contributions underscore a commitment to operational safety and efficiency, positioning him as a rising voice in applied robotics for critical infrastructure.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Research and Verification of Robot Master-Slave Control Algorithm for Nuclear Power Maintenance Scenarios
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago