Lit‐Ken Tan
Papers
1
Total Citations
5
H-Index
1
About
Dr. Lit‐Ken Tan is a rising researcher in computer vision and robotics, with a focused interest in vision-based manipulation and grasping. His most-cited work, "Find the centroid: A vision‐based approach for optimal object grasping" (2021), has garnered 5 citations and addresses a critical challenge in autonomous systems: enabling robots to accurately locate and grasp objects using visual data. By proposing a centroid-finding method, Dr. Tan contributes to more efficient and reliable robotic interactions in dynamic environments, with potential applications in manufacturing and agriculture. His research bridges deep learning techniques with practical robotic control, aiming to enhance automation in industries that require precise object handling. Though early in his career, Dr. Tan's work signals a promising trajectory in applied computer vision, where his insights could help shape the next generation of intelligent, vision-guided robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Find the centroid: A vision‐based approach for optimal object grasping5 citations · 2021