Papers
15
Total Citations
303
H-Index
11
About
Inbae Jeong is a robotics and artificial intelligence researcher whose work spans autonomous robot navigation, human-robot collaboration (HRC), and task intelligence — with particular emphasis on real-world construction environments. His research has made significant contributions to enabling robots to operate safely and effectively alongside human workers, addressing critical challenges in collision avoidance, autonomous navigation on uneven terrain, and trust dynamics in collaborative settings. Jeong's most-cited work (42 citations) pioneered multi-camera-based human activity recognition to enhance safety in construction robotics, while his motion planning research (38 citations) tackled the complex challenge of autonomous navigation across unstructured job sites. A distinctive thread in his recent scholarship explores the psychophysiological dimensions of human-robot trust, leveraging machine learning and immersive virtual environments to measure and predict worker confidence in robotic collaborators — work that has already attracted 36 and 32 citations respectively. Earlier in his career, Jeong established expertise in bio-inspired robotics, developing evolutionary and swarm-optimized central pattern generators for robotic fish locomotion. His AI World Cup initiative further demonstrates a commitment to advancing computational intelligence through competitive, game-based platforms. Collectively, his publications reflect a researcher dedicated to bridging theoretical AI with practical, human-centered robotic systems.
Research Focus
Key Achievements
Top Papers
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- 6AI World Cup: Robot-Soccer-Based Competitions23 citations · 2021
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