Papers
7
Total Citations
137
H-Index
6
About
Taejin Kim is a robotics researcher whose work spans human-robot interaction, autonomous navigation, and underwater systems. His most cited paper, "Is it the best for barista robots to serve like humans?" (71 citations), explores how anthropomorphic design influences user acceptance of service robots—a key contribution to the growing field of social robotics. Kim has also made significant advances in indoor delivery robotics, developing a multi-floor mobile robot that addresses real-world challenges in logistics and hospitality (29 citations). His earlier work on underwater robots demonstrates technical depth in sensor fusion and control: he developed a pose estimation method fusing inertial sensors and optical imagery (10 citations), a disturbance rejection controller for precise positioning (7 citations), and a dual imaging sonar system for underwater exploration (9 citations). Additionally, Kim contributed to unmanned surface vehicles with obstacle avoidance using monocular vision (6 citations) and path tracking simulations (5 citations). His research bridges fundamental robotics challenges—localization, control, and human-centered design—with practical applications in service, delivery, and marine environments. With over 130 total citations, Kim’s work is shaping how robots operate both alongside humans and in unstructured underwater settings.
Research Focus
Key Achievements
Top Papers
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- 2Development of an Indoor Delivery Mobile Robot for a Multi-Floor Environment29 citations · 2024
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