Kiwan Kim

Papers

Total Citations

H-Index

About

Kiwan Kim is a robotics researcher whose work focuses on the practical challenges of deploying mobile robots in constrained, real-world environments. His primary research areas include pipeline inspection robotics, omnidirectional mobile platforms, and energy-efficient robot locomotion. Kim’s major contributions center on solving two critical problems: the safe navigation of large-scale inspection robots through complex pipe networks, and the energy optimization of Mecanum-wheeled robots for industrial transport. His 2020 paper on a “Cornering Algorithm for a Crawler In-Pipe Inspection Robot” (26 citations) introduced a novel, space-constraint-based control method that enables heavy, three-legged crawlers to smoothly traverse pipe bends—a key bottleneck in automated pipeline maintenance. Complementing this, his 2021 work on a “Practical Model for Energy Consumption Analysis of Omnidirectional Mobile Robot” (24 citations) provides a foundational framework for analyzing the trade-off between the high maneuverability of Mecanum robots and their significant energy demands. These contributions are notable for their direct industrial applicability, offering engineers actionable models and algorithms to improve the autonomy and efficiency of robots operating in tight, high-stakes environments.