Guangsheng Shi
Papers
1
Total Citations
2
H-Index
1
About
Guangsheng Shi is a researcher in robotics and computer vision, with a focus on 3D perception for autonomous manipulation. His work centers on developing efficient methods for object modeling and scene understanding, particularly using RGB-D sensors to bridge the gap between raw visual data and actionable robot intelligence. In his notable 2015 paper, "Indoor objects 3D modeling based on RGB-D camera for robot vision," Shi proposed a streamlined three-stage approach for reconstructing 3D object models from Kinect data, directly supporting robot tasks such as locating, grasping, and dropping objects. While this early work has accumulated 2 citations, it laid foundational ideas for integrating depth sensing into practical robotic operations. Shi’s contributions are part of a broader effort to make robots more capable in unstructured indoor environments, emphasizing real-time, low-cost solutions. His research continues to influence the development of vision-guided manipulation systems, offering a pragmatic pathway from sensor input to robotic action.
Research Focus
Key Achievements
Top Papers
- 1Indoor objects 3D modeling based on RGB-D camera for robot vision2 citations · 2015