Hongjie Ni

Zhejiang University of Technology

Papers

6

Total Citations

124

H-Index

5

About

Dr. Hongjie Ni is a rising leader in intelligent robotics and multi-agent systems, whose work bridges control theory, optimization, and autonomous navigation. His research centers on three key areas: formation control for multi-robot systems, robust manipulation under actuator faults, and efficient path planning for mobile robots. Dr. Ni’s most impactful contributions include a primal-dual neural network and distributed predictive approach for formation control (48 citations) and a finite-time adaptive super-twisting sliding mode controller that ensures stability in autonomous robotic manipulators despite actuator faults (48 citations). He has also advanced global path planning with a prior information-based particle swarm optimization method and introduced a phase search-enhanced Bi-RRT algorithm to accelerate convergence in complex environments. His active disturbance rejection formation control framework for multi-agent systems under input constraints further demonstrates his ability to solve real-world control challenges. With over 120 total citations and a growing portfolio of high-impact work, Dr. Ni is establishing himself as a key innovator in making autonomous systems more reliable, efficient, and coordinated.

Research Focus

Key Achievements

5
H-Index
6
Papers
124
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Formation control of mobile robot systems incorporating primal-dual neural network and distributed predictive approach
48 citations · 2020
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Zhejiang University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago