Hui Fang Koh
Papers
2
Total Citations
51
H-Index
2
About
Hui Fang Koh is a robotics researcher whose work lies at the intersection of tactile sensing and human-robot interaction. Her primary research areas include haptic perception, social robotics, and the development of intuitive interfaces between humans and machines. Koh’s most significant contribution is her investigation into how robots can effectively identify textures through touch, a fundamental challenge in replicating human sensory capabilities. Her 2019 paper, “Towards Effective Tactile Identification of Textures using a Hybrid Touch Approach,” with 48 citations, explores the innovative combination of static contact and sliding motions to enhance a robot’s tactile understanding of objects. This work is pivotal for advancing robotic manipulation and environmental interaction beyond vision alone. Additionally, Koh has explored human preferences in social robotics, as seen in her 2018 study “Advbot,” which examines how robots can be designed to better coexist with humans in daily life. By bridging the gap between technical tactile sensing and socially aware robot behavior, Koh’s research is shaping the future of robots that can both feel and connect, making her a notable emerging voice in the field.
Research Focus
Key Achievements
Top Papers
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