Jing She
Papers
1
Total Citations
3
H-Index
1
About
Jing She is a researcher specializing in robotics, control systems, and sensor fusion, with a particular focus on the challenging domain of single ball self-balancing mobile robots. Her most cited work, "Pose Optimization of a Single Ball Self-Balancing Mobile Robot Based on IMU and Visual Fusion" (2018), addresses a fundamental problem in multivariable, high-order, nonlinear, and statically unstable systems. She tackles the critical limitation of Inertial Measurement Units (IMUs)—the accumulation of data errors over time—by integrating visual data to improve pose estimation accuracy. This contribution is vital for enhancing the stability and reliability of self-balancing robots, which are essential for agile, omnidirectional platforms. With 3 citations, her work has laid groundwork for further advancements in sensor fusion and robot control. Jing She’s research is particularly notable for its practical approach to overcoming real-world sensor limitations, making her a key contributor to the evolution of mobile robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1