Chyan Zheng Siow
Papers
2
Total Citations
5
H-Index
2
About
Chyan Zheng Siow is an emerging researcher at the forefront of human-robot interaction, with a particular focus on making robots more socially aware and responsive in human-centered environments. His work centers on developing intelligent systems that enable robots to recognize human activities, maintain appropriate social distances, and interact naturally with people. In his highly cited 2023 paper, Siow introduced an efficient activity recognition framework for homecare robots using multi-modal communication data, addressing the critical challenge of how robots can understand and respond to human behavior in domestic settings. His 2024 study further advanced the field by implementing a continuous person recognition system on a balloon robot, employing a Takagi-Sugeno-Kang (TSK) fuzzy classifier to distinguish between faces and body regions—a novel approach for maintaining social distance in human-robot coexistence scenarios. Though early in his career, Siow’s contributions are already shaping the design of pet robots and homecare assistants that can autonomously adjust their behavior based on social context. His research bridges computer vision, fuzzy logic, and robotics, offering practical solutions for safer, more intuitive human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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- 2