Zengqi Sun

About

Zengqi Sun is a prominent robotics and intelligent control researcher whose work spans neural network-based control systems, adaptive robotics, and humanoid locomotion. With a career built on bridging theoretical foundations and practical robotic applications, Sun has made lasting contributions to the field of intelligent robot control. Sun's most influential work, a 2001 paper on neural network-based adaptive control for robotic manipulators (113 citations), introduced a pioneering observer-based approach to trajectory tracking under unknown dynamic nonlinearities — a significant advance for systems with limited sensor feedback. This built upon his earlier foundational studies in sampled-data and neuro-adaptive control from the late 1990s, establishing a coherent research trajectory in robust, learning-based robot control. Beyond manipulator control, Sun extended his expertise into networked robot systems, addressing real-time protocol reconfiguration challenges in internet-based control, and into humanoid robotics, developing spline-based optimization methods for biped gait synthesis and three-mass pendulum walking models. His work on flexible dual-arm space robots and dexterous hand guidance through visual tracking further reflects the breadth of his contributions. Collectively, Sun's research has shaped intelligent, adaptive robotic systems across terrestrial and space applications.

Research Focus

Key Achievements

Top Papers

1. 1
   Neural network-based adaptive controller design of robotic manipulators with an observer

   113 citations · 2001
2. 2
   Neuro-fuzzy adaptive control based on dynamic inversion for robotic manipulators

   38 citations · 2003
3. 3
   Transport layer protocol reconfiguration for network-based robot control system

   34 citations · 2005
4. 4
   Optimal Trajectory Planning of a Flexible Dual-Arm Space Robot with Vibration Reduction

   30 citations · 2004
5. 5
   Biped gait optimization using spline function based probability model

   30 citations · 2006
6. 6
   Stable Neuro-Adaptive Control for Robots with the Upper Bound Estimation on the Neural Approximation Errors

   16 citations · 1999
7. 7
   Stable Sampled-data Adaptive Control of Robot Arms Using Neural Networks

   15 citations · 1997
8. 8
   Image-based robot motion simulation

   14 citations · 2002
9. 9
   Biped Robot Walking Using Three-Mass Linear Inverted Pendulum Model

   13 citations · 2008
10. 10
    Model-based visual hand posture tracking for guiding a dexterous robotic hand

    12 citations · 2004

Key Collaborators

Contact & Links