Jong-Hann Jean
Papers
9
Total Citations
119
H-Index
7
About
Jong-Hann Jean is a robotics researcher whose work spans visual servo control, autonomous navigation, and human-robot interaction, with a particular focus on mobile patrol and service robots. His most significant contribution is the development of robust visual servo systems for nonholonomic mobile robots, where he pioneered adaptive shape tracking algorithms that enable reliable object tracking without requiring precise calibration—a breakthrough cited 41 times in his 2011 paper. Jean's research has had substantial impact on home security robotics, demonstrated through his development of patrol robots that integrate multiple sensors for fire, intruder, and gas detection, and his work on efficient adaptive hybrid control strategies for constrained manipulation, which has garnered 16 citations since 1991. He has also advanced the field of multimodal human-robot interaction, creating systems that combine speech recognition, interactive displays, and sensory feedback for office delivery and entertainment robots. His contributions to rate and quality control for embedded visual surveillance systems address critical challenges in bandwidth-limited mobile robot applications. With over 100 total citations across his career, Jean's work continues to influence the design of practical, autonomous service robots for real-world environments.
Research Focus
Key Achievements
Top Papers
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- 7Development of an office delivery robot with multimodal human-robot interactions7 citations · 2012
- 8An Adaptive Coordinated Control Scheme for Multi-Manipulator Systems6 citations · 1991
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