Chin-Yin Liu
Papers
2
Total Citations
11
H-Index
2
About
Chin-Yin Liu is a robotics researcher whose work bridges the gap between human cognition and machine execution, with a particular focus on service robotics and intelligent manipulation. Liu’s primary research areas include human-robot interaction, 3D vision-based grasping, and cognitive robotics. In their most cited work, “Robots That Think Fast and Slow” (2016, 6 citations), Liu explores dual-process cognitive architectures in robotics, using the task of throwing a ball into a basket to demonstrate how robots can emulate human-like decision-making—blending rapid reflexive actions with slower, deliberate reasoning. This work contributes to the broader goal of creating robots that can adapt intuitively to dynamic environments. Complementing this, Liu’s 2017 paper on a 3D vision-based object grasping posture learning system (5 citations) advances home service robots by enabling them to recognize object orientation and select optimal grasp points, even adjusting when initial plans prove inadequate. Though still early in their citation impact, Liu’s research is notable for its practical integration of cognitive theory and computer vision, laying groundwork for more autonomous, human-aware robots in domestic settings.
Research Focus
Key Achievements
Top Papers
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