Papers
9
Total Citations
49
H-Index
4
About
Qizhi Zhang is a robotics researcher whose work spans bipedal locomotion, simultaneous localization and mapping (SLAM), and nonholonomic motion planning. Over nearly two decades, Zhang has made consistent contributions to some of the most challenging problems in autonomous and humanoid robotics. Zhang's most influential work focuses on biped robot dynamics, particularly gait transition and orbital stability analysis using the V-DSLIP model, which has garnered 19 citations since 2022 and represents a significant advance in modeling torso and swing leg dynamics for stable bipedal walking. Complementing this, earlier studies on semi-passive biped robots and flexible biped stability using Spring-Loaded Inverted Pendulum (SLIP) models demonstrate a sustained commitment to understanding periodic walking and locomotion control. In the domain of robot perception and navigation, Zhang has contributed frameworks for RGB-D indoor mapping, dense 3D environmental reconstruction, and dynamic-environment SLAM using improved visual odometry. His earlier research applied evolutionary computation — genetic algorithms with wavelet approximation and particle swarm optimization — to nonholonomic motion planning, establishing foundational approaches still referenced today. With a citation record reflecting steady, broad impact across locomotion, perception, and planning, Zhang represents a well-rounded contributor to modern autonomous robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Improved Visual Odometry Based on SSD Algorithm in Dynamic Environment8 citations · 2020
- 3
- 4
- 5RGB-D mapping for indoor environment3 citations · 2014
- 6
- 7Non-Holonomic Motion Planning with PSO and Spline Approximation2 citations · 2007
- 8
- 9Stability Analysis of a Flexible Biped Robot in Periodic Walking1 citations · 2021