Papers
2
Total Citations
5
H-Index
2
About
Rockwon Kim is a researcher focused on advancing human-robot interaction and task coordination, particularly for service robots operating in everyday environments. His key research areas include hierarchical task planning, finite state machine modeling, and procedural knowledge representation. Kim’s major contribution is the development of the hierarchical concurrent finite state machine (HCFSM) model, which natively supports concurrency, hierarchical decomposition, and event handling—essential features for complex robot task executions. This user-friendly diagrammatic model simplifies the design of robot behaviors, enabling more natural and adaptive interactions. His work on building hierarchical robot tasks from multiple task procedures emphasizes the procedural aspects of human task knowledge, allowing developers and users to easily modify action sequences for more intuitive robot behavior. While his most-cited papers have accumulated modest citation counts (3 and 2 citations respectively), they represent foundational steps in making service robots more responsive and adaptable in real-world settings. Kim’s research contributes to the broader goal of creating robots that can seamlessly integrate into daily life, with potential applications in domestic assistance, healthcare, and collaborative environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Building a hierarchical robot task from multiple task procedures2 citations · 2011