Hailong Pei

About

Dr. Hailong Pei is a leading researcher in intelligent control systems, with a primary focus on robotics and autonomous aerial vehicles. His work bridges neural network theory and robust control, addressing critical challenges in robot manipulators, mobile robots, and ducted fan aerial robots. Dr. Pei’s most influential contribution is his 2011 paper on neural network-based sliding mode adaptive control for robot manipulators, which has garnered 249 citations and established a foundational method for handling uncertain dynamics in robotic systems. He has also made significant advances in environmental boundary tracking for nonholonomic mobile robots (70 citations) and leader-following formation control (39 citations), using observer-based adaptive techniques. More recently, Dr. Pei has pioneered control strategies for ducted fan fixed-wing aerial robots, including model predictive control enhanced by physics-informed machine learning and robust composite observer designs, with several papers from 2022 each receiving 14–19 citations. His work on level path flight mode transition for agile aerial robots demonstrates practical implementation in high-maneuverability systems. With a career spanning over two decades, Dr. Pei’s research has profoundly impacted both theoretical control design and real-world robotic applications, making him a key figure in the field.

Research Focus

Key Achievements

Top Papers

1. 1
   Neural network-based sliding mode adaptive control for robot manipulators

   249 citations · 2011
2. 2
   Robust adaptive neural network control for environmental boundary tracking by mobile robots

   70 citations · 2011
3. 3
   Observer-based adaptive leader-following formation control for non-holonomic mobile robots

   39 citations · 2012
4. 4
   RETRACTED: Face recognition framework based on effective computing and adversarial neural network and its implementation in machine vision for social robots

   33 citations · 2021
5. 5
   Transition Analysis and Practical Flight Control for Ducted Fan Fixed-Wing Aerial Robot: Level Path Flight Mode Transition

   19 citations · 2022
6. 6
   Model Predictive Control Technique for Ducted Fan Aerial Vehicles Using Physics-Informed Machine Learning

   18 citations · 2022
7. 7
   Composite observer-based robust model predictive control technique for ducted fan aerial vehicles

   14 citations · 2022
8. 8
   Variable structure control of linearizable systems with applications to robot manipulators

   11 citations · 2002
9. 9
   A Neural Network Robot Force Controller

   9 citations · 2005
10. 10
    Control of underactuated free floating robots in space

    4 citations · 2002

Key Collaborators

Contact & Links