Sunghoon Jang
Papers
1
Total Citations
13
H-Index
1
About
Sunghoon Jang is a researcher specializing in the control and automation of heavy construction machinery, with a particular focus on hydraulic excavators. His work bridges the gap between traditional hydraulic systems and modern sensor-based precision control, enabling retrofitted excavators to achieve autonomous straight-line end-point movements. His most-cited paper, "Sensor-based straight-line control of the end-point of a typical retrofitted hydraulic excavator" (2020), has garnered 13 citations, reflecting its practical relevance to the field of construction robotics and automation. Jang’s contributions are pivotal in advancing the efficiency and safety of earthmoving operations, offering cost-effective solutions for upgrading existing equipment rather than requiring entirely new autonomous systems. His research is notable for its emphasis on real-world applicability, addressing challenges in sensor integration, kinematic modeling, and control algorithm design for heavy-duty environments. By demonstrating that retrofitted excavators can achieve precise, repeatable trajectories, Jang’s work supports the broader adoption of automation in construction, mining, and disaster response. His findings serve as a foundation for future studies on adaptive control and human-machine collaboration in off-highway vehicles.
Research Focus
Key Achievements
Top Papers
- 1