Low Hoi Hoi
Papers
2
Total Citations
24
H-Index
2
About
Low Hoi Hoi is a researcher specializing in industrial robotics, with a focused expertise in the design and development of intelligent gripping systems. Their key research areas encompass robotic manipulation, sensor integration, and machine vision for automated manufacturing. Hoi Hoi’s major contribution lies in advancing the functionality of robotic grippers by incorporating vision-based sensors, enabling these end-effectors to perceive and adapt to objects in real-time. Their seminal work, "Design and Development of Smart Gripper with Vision Sensor for Industrial Applications" (2011), has garnered 17 citations, establishing a foundational approach for merging tactile and visual feedback in automation. Building on this, their 2012 study on developing a dedicated vision-based sensor for smart grippers (7 citations) refined the integration process, improving object detection and handling accuracy. These contributions are particularly notable for addressing practical challenges in assembly, packaging, and machining, where adaptive gripping is critical. Hoi Hoi’s research has directly influenced the evolution of more autonomous and flexible industrial robots, making their work a valuable reference for students and engineers seeking to enhance robotic dexterity through sensor fusion.
Research Focus
Key Achievements
Top Papers
- 1
- 2