Xinzhi Liu

About

Xinzhi Liu is a leading researcher in advanced robotics and intelligent control systems, with a primary focus on robust and adaptive control strategies for complex robotic platforms. His most influential work, "Neural network robust H∞ tracking control strategy for robot manipulators" (2009, 55 citations), established a foundational framework for combining neural networks with H∞ control to achieve precise, disturbance-resistant motion in robot arms—a critical contribution to industrial and service robotics. Liu has also made significant strides in mobile robotics, notably developing an adaptive robust control strategy for a rhombus-type lunar exploration wheeled robot that integrates wavelet transforms and probabilistic neural networks (2017, 25 citations), demonstrating his ability to tackle extreme environments. His hands-on engineering achievements include the mechanical design and control of a hexapod robot with a passive joint on each foot (2017), which advanced bio-inspired locomotion by mimicking insect movement characteristics. More recently, Liu has explored human-robot collaboration through a direct teaching method for serial robots using a high-precision 6-axis force/torque sensor (2018), implementing impedance control for compliant interaction. With over 90 cumulative citations, Liu’s work bridges theoretical control innovation and practical robot design, making him a key figure in the evolution of adaptive, robust, and human-friendly robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Neural network robust <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si5.gif" overflow="scroll"><mml:mrow><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math> tracking control strategy for robot manipulators

   55 citations · 2009
2. 2
   Adaptive robust control strategy for rhombus-type lunar exploration wheeled mobile robot using wavelet transform and probabilistic neural network

   25 citations · 2017
3. 3
   Development of Hexapod Robot with one passive joint on foot

   6 citations · 2017
4. 4
   An Approach of Direct Teaching Method Based on on Multi-axis Force Sensor

   4 citations · 2018

Key Collaborators

Contact & Links