Shangwei Liu

National Formosa University

Papers

1

Total Citations

2

H-Index

1

About

Shangwei Liu is a researcher focused on robotics, computer vision, and intelligent automation systems. His most notable contribution lies in the integration of 3D imaging technologies with robotic control, particularly through his work on multi-angle gripping and path planning for robotic arms. In his 2020 study, Liu developed a method that combines a 3D camera with network-connected remote processing to identify workpieces, determine their spatial position and distance, and automate gripping from multiple angles. This approach enhances the flexibility and precision of robotic manipulation in unstructured environments. While his citation count is currently modest, his research addresses a critical challenge in industrial automation: enabling robots to perceive and interact with objects in three-dimensional space without manual programming. Liu’s work contributes to the broader field of intelligent manufacturing, where vision-guided robotics is essential for tasks like assembly, sorting, and material handling. His integration of depth-sensing hardware with algorithmic control represents a practical step toward more autonomous and adaptable robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
3D Cameras and Algorithms for Multi-Angle Gripping and Control of Robotic Arm
2 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: National Formosa University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago