Peirong Wang
Papers
1
Total Citations
2
H-Index
1
About
Peirong Wang’s research lies at the intersection of robotics, computer vision, and intelligent control, with a focus on developing autonomous systems for indoor manipulation tasks. In their most-cited work, “Mobile Grabbing Robot with Target Detection Using Quadric Fitting” (2021), Wang addresses the core challenges of target recognition, localization, navigation, and mechanical control in robotic grasping. By integrating a wheeled chassis with a six-axis mechanical arm and employing multi-sensor vision perception, Wang’s system uses quadric fitting to enhance object detection accuracy, enabling the robot to autonomously identify and retrieve targets in cluttered environments. This contribution has garnered 2 citations, reflecting its relevance to researchers working on mobile manipulation and sensor fusion. Wang’s work is notable for bridging theoretical fitting algorithms with practical robotic deployment, offering a scalable solution for service robots and industrial automation. Their research continues to advance vision-based control systems, with potential applications in logistics, assistive robotics, and smart manufacturing.
Research Focus
Key Achievements
Top Papers
- 1Mobile Grabbing Robot with Target Detection Using Quadric Fitting2 citations · 2021