Haijie Li
Papers
5
Total Citations
60
H-Index
3
About
Dr. Haijie Li is a robotics researcher whose work centers on the dynamic modeling, design optimization, and perception of robotic manipulators. Her major contributions lie in developing computationally efficient methods for modeling complex robot systems, particularly those with flexible links and parallel architectures. She pioneered the application of the Discrete Time Transfer Matrix Method (DT-TMM) to robot manipulators, as demonstrated in her most-cited work, "Computationally efficient dynamic modeling of robot manipulators with multiple flexible-links using acceleration-based discrete time transfer matrix method" (42 citations). This work, along with her integration of dynamics into design optimization for a 3-PRR planar parallel manipulator (11 citations), provides powerful tools for engineers designing lightweight, high-performance robots. Her earlier work combined DT-TMM with the Finite Segment Method for flexible manipulators and addressed electrical-mechanical co-simulation. Most recently, Dr. Li has expanded into 3D scene understanding with "InstanceGaussian," a novel appearance-semantic joint representation for instance-level perception (2025, 3 citations), bridging her expertise in dynamics with cutting-edge computer vision for applications in autonomous driving and robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5