Ruo-Wei Wu
Papers
1
Total Citations
2
H-Index
1
About
Ruo-Wei Wu is a researcher specializing in robotics, computer vision, and intelligent automation systems. Their most notable contribution is the development of a multi-angle identification and gripping path planning method for robotic arms, integrating 3D camera technology to enhance automated manipulation. In their 2020 paper, "3D Cameras and Algorithms for Multi-Angle Gripping and Control of Robotic Arm," Wu pioneered a system that captures workpiece images, positions, and distances via a 3D camera, transmits data to a remote host for identification, and enables precise, adaptive gripping from multiple angles. This work addresses critical challenges in industrial automation, improving flexibility and accuracy in robotic pick-and-place operations. While their citation count is currently modest, Wu’s research lays foundational groundwork for integrating depth-sensing cameras with networked control systems, offering practical solutions for smart manufacturing and human-robot collaboration. Their approach emphasizes real-time data processing and remote operation, pointing toward scalable, Industry 4.0-compatible automation. For students and researchers exploring robotic vision and control, Wu’s work provides a clear, applied example of how 3D sensing can transform traditional robotic arm functionality.
Research Focus
Key Achievements
Top Papers
- 1