Jianyuan Xie
Papers
1
Total Citations
4
H-Index
1
About
Jianyuan Xie is a researcher at the forefront of intelligent robotics and human-machine interaction, with a focus on integrating deep learning and 3D vision for advanced industrial automation. His most-cited work, "Research of robotic arm control system based on deep learning and 3D point cloud target detection algorithm" (2022, 4 citations), addresses a critical challenge in smart manufacturing: enabling robots to perceive and manipulate their environment with precision. By combining deep learning with 3D point cloud data, Xie’s system enhances robotic arm control, allowing for more accurate target detection and adaptive grasping in dynamic industrial settings. This contribution supports the broader shift toward human-machine intelligent interaction, where robots can safely and efficiently collaborate with human workers. While his citation count is still growing, Xie’s research is timely, aligning with the explosive demand for flexible automation across industries. His work lays a foundation for next-generation industrial robots that can learn from their surroundings, promising to transform manufacturing floors into smarter, more responsive environments.
Research Focus
Key Achievements
Top Papers
- 1