Papers

2

Total Citations

8

H-Index

2

About

Jinmao Jiang is a rising researcher in robotics and autonomous systems, whose work centers on the intersection of control theory, computer vision, and multi-sensor navigation. His major contributions include the development of a vision-based adaptive leakage-type sliding mode admittance controller for collaborative robots, which addresses the critical challenge of actuator saturation while enabling synchronous control of precise path following and compliant human-robot interaction. This work, published in 2024, has already garnered 6 citations, signaling its immediate relevance to the field of safe and responsive robotics. Jiang has also advanced mobile robot localization through an improved genetic algorithm for satellite selection in multi-GNSS positioning, a method that enhances accuracy and consistency in environments with numerous tracked satellites. His research is notable for its practical focus on overcoming real-world constraints—such as actuator limits and signal redundancy—to make robots more reliable in dynamic settings. As a scholar whose work bridges theoretical control design and applied robotics, Jiang is establishing a reputation for solving complex, hardware-relevant problems, making his contributions valuable for both academic researchers and engineers developing next-generation autonomous systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Vision-based adaptive LT sliding mode admittance control for collaborative robots with actuator saturation
6 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Electronic Science and Technology of China

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago