Jingming Xie
Papers
5
Total Citations
114
H-Index
4
About
Dr. Jingming Xie is a leading researcher in robotics, with a core focus on human-robot collaboration, multi-robot systems, and autonomous perception. His work is distinguished by its practical contributions to sensor technology and robotic localization. Dr. Xie developed a six-dimensional traction force sensor specifically designed for safe human-robot interaction, a foundational tool for collaborative robotics that has garnered 38 citations. He also proposed a novel, efficient calibration method for multi-robot systems that eliminates the need for nominal kinematic parameters, a significant advancement cited 36 times. In mobile robotics, his early work on localization using the Extended Kalman Filter (EKF) remains influential with 26 citations, establishing a key methodology for reducing positional error. More recently, Dr. Xie has advanced the field of 6D object pose estimation from cluttered scenes, enabling robots to precisely interact with their environment. His latest research tackles a critical challenge for autonomous vehicles: improving depth completion from sparse LiDAR data using cross-modality knowledge distillation. With a career spanning foundational localization algorithms to cutting-edge perception for autonomous systems, Dr. Xie’s work consistently drives the capabilities of intelligent robots.
Research Focus
Key Achievements
Top Papers
- 1A six-dimensional traction force sensor used for human-robot collaboration38 citations · 2018
- 2
- 3Mobile Robot Localization Based on Extended Kalman Filter26 citations · 2006
- 4
- 5