Dohoon Kim
Papers
3
Total Citations
11
H-Index
3
About
Dohoon Kim is a leading researcher at the intersection of robotics, sensor technology, and economic systems analysis. His work spans two distinct yet complementary domains: the structural dynamics of robot ecosystems and the development of advanced human–robot interaction technologies. In his foundational studies on robot ecosystems, Kim pioneered the use of patent databases and reconfigured Input-Output data to map the complex interdependencies between the robotics sector and other industries. His papers “Network analysis of robot ecosystems using national information systems” and “Understanding the Robot Ecosystem: Don't lose sight of either the trees or the forest” (each with 4 citations) provide critical frameworks for policymakers and industry leaders navigating the growth of government-supported robotics sectors. More recently, Kim has advanced the frontiers of tactile sensing with his 2025 work on robust, multimodal capacitive sensors using carbon nanotube paper composites. This highly innovative paper (3 citations) tackles the challenge of high-precision 3D fingertip tracking for human–robot collaboration, with direct applications in healthcare, manufacturing, and daily life support. By bridging macro-level ecosystem analysis with micro-level sensor innovation, Kim offers a holistic vision of robotics that is both technically rigorous and economically informed.
Research Focus
Key Achievements
Top Papers
- 1Network analysis of robot ecosystems using national information systems4 citations · 2021
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