Jiqing Luo

PLA Army Engineering University

Papers

1

Total Citations

3

H-Index

1

About

Dr. Jiqing Luo is a leading researcher in rehabilitation robotics and human-robot interaction, with a primary focus on advancing lower extremity exoskeleton technologies. His most impactful work addresses the critical challenge of force tracking control in exoskeletons, where he developed a novel recurrent neural network-based approach to overcome persistent obstacles such as dynamics model uncertainty, external disturbances, and unknown human-robot interactive forces. This 2024 study, already garnering 3 citations, demonstrates his ability to tackle complex control problems that directly impact the practical deployment of assistive devices. Dr. Luo's contributions are particularly significant for enhancing human limb capabilities across rehabilitation, military, and industrial applications. His research bridges the gap between theoretical neural network architectures and real-world robotic control systems, offering robust solutions that improve the safety and precision of human-robot collaboration. By developing intelligent control strategies that adapt to unpredictable human movements and environmental conditions, Dr. Luo is helping to make exoskeletons more reliable and effective for users who depend on these technologies for mobility assistance or performance enhancement.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Force Tracking Control of Lower Extremity Exoskeleton Based on a New Recurrent Neural Network
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: PLA Army Engineering University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago