Xianghua Ma
Papers
6
Total Citations
129
H-Index
5
About
Xianghua Ma is a robotics and autonomous systems researcher whose work focuses on the intersection of intelligent path planning, trajectory optimization, and control for mobile robots and robotic manipulators. Her most significant contribution is an improved Timed Elastic Band (TEB) algorithm for Autonomous Ground Vehicles (AGVs) operating in complex environments, which addresses the critical problem of local detours and excessive energy consumption during curve turns—a paper that has garnered 76 citations. Ma has also made substantial contributions to robotic arm trajectory planning, developing both quintic and seventh-degree polynomial approaches for seven-DOF manipulators to ensure smooth, rapid motion to target positions. Her work extends to obstacle avoidance through an enhanced Dynamic Window Approach (DWA) for mobile robots in dense, complex workshop environments, and to trajectory tracking control using U-model methods that reduce reliance on dynamic mathematical models. With a total of over 120 citations across her published works, Ma’s research is particularly relevant for students and engineers working on AGV navigation, industrial robotics, and autonomous systems in manufacturing settings. Her ability to identify and solve practical limitations in widely-used algorithms makes her contributions valuable for real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Trajectory Planning for Seven-DOF Robotic Arm Based on Quintic Polynormial24 citations · 2019
- 3
- 4Obstacle avoidance path planning of mobile robot based on improved DWA10 citations · 2022
- 5Trajectory Tracking Control of Robot Manipulators Based on U-Model6 citations · 2020
- 6Phase Center Measurement of A Novel Outdoor Wi-Fi Antenna2 citations · 2022