Changu Kim
Papers
4
Total Citations
96
H-Index
4
About
Changu Kim is a leading researcher in autonomous robotic systems, with a primary focus on precision motion control and intelligent trajectory planning for industrial heavy machinery. His most influential work introduces a data-driven model inversion framework for robotized hydraulic excavators, achieving high-precision control by bypassing the complexities of input delays and dead-zones inherent in such systems. This paper has garnered 44 citations, underscoring its significance in advancing construction automation. Kim also pioneered an expert-emulating excavation trajectory planning method (30 citations), which mimics human operator strategies to optimize digging in unmodellable soils while ensuring robustness and safety. Beyond excavation, his research extends to multi-robot teleoperation and cooperative localization, including a predictive display framework for distributed wheeled mobile robots (16 citations) and a feedback control scheme for omni-directional robot teams (6 citations). These contributions demonstrate Kim’s ability to bridge theoretical control methods with real-world applications, making him a key figure in the push toward fully autonomous construction and field robotics.
Research Focus
Key Achievements
Top Papers
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- 42-D cooperative localization with omni-directional mobile robots6 citations · 2015