Papers
2
Total Citations
36
H-Index
2
About
Yu Hin Ng is an emerging robotics researcher whose work centers on robotic manipulation, particularly the challenging problem of bin picking and dexterous handling of difficult-to-grasp objects. His research addresses one of the most persistent and practically significant hurdles in industrial and domestic automation: reliably picking objects from cluttered environments, especially those with thin profiles that conventional robotic systems struggle to handle. Ng's most notable contribution, "Dig-Grasping via Direct Quasistatic Interaction Using Asymmetric Fingers" (2021), has garnered 23 citations and introduces an innovative simultaneous singulation-and-picking methodology that meaningfully advances the state of robotic bin picking. Complementing this, his earlier work on "Tilt-and-Pivot Manipulation" (2020, 13 citations) demonstrated a creative approach to reorienting thin, rigid objects on flat surfaces through in-hand dexterous manipulation — a technique with broad applicability across manufacturing and logistics settings. Together, these contributions reflect Ng's focus on bridging the gap between theoretical robotic manipulation and real-world industrial deployment. His research is particularly valuable for students and engineers interested in contact-rich manipulation, grasp planning, and the design of specialized end-effectors for complex picking scenarios.
Research Focus
Key Achievements
Top Papers
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