Jeong-Yean Yang
Papers
19
Total Citations
127
H-Index
6
About
Jeong-Yean Yang has pioneered the intersection of robot kinematics, human-robot interaction, and affective computing, with a career spanning foundational design methods to emotionally intelligent systems. His most influential work, "Task-oriented design of robot kinematics using the Grid Method" (28 citations), introduced a novel approach that dramatically simplifies kinematic complexity by adapting finite difference techniques to robotics—a contribution that remains a reference for efficient robot design. Yang’s research is equally distinguished by his focus on making robots socially engaging: his autonomous dance generation system (25 citations) demonstrated how robots could respond to real-time music, while his work on companion robots for driving assistance (12 citations) and affective cleaning robots (12 citations) explored long-term emotional attachment and user adaptation. He has also advanced multi-robot interaction dynamics and intuitive interfaces using laser-based foot motion detection. With over 100 total citations across his top papers, Yang’s contributions are notable for bridging rigorous engineering with human-centered design, particularly in domestic and assistive contexts. His development of episodic memory systems for affective agents further underscores his commitment to creating robots that not only perform tasks but build meaningful, lasting relationships with users.
Research Focus
Key Achievements
Top Papers
- 1Task-oriented design of robot kinematics using the Grid Method28 citations · 2003
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- 5The effect of multiple robot interaction on human-robot interaction6 citations · 2012
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