Chae-Joo Moon

Mokpo National University

Papers

1

Total Citations

7

H-Index

1

About

Chae-Joo Moon is a researcher whose work centers on the precise and efficient control of robotic actuators, with a particular focus on trajectory generation. His most-cited paper, "Jerk-Limited Time-Optimal Reference Trajectory Generation for Robot Actuators" (2017), addresses a fundamental challenge in industrial robotics: achieving high-speed motion without sacrificing smoothness or causing mechanical stress. By implementing a simple yet effective jerk-limited, time-optimal point-to-point trajectory for electric motor-based actuators, Moon provided a practical solution that balances speed with operational safety and longevity. This contribution is essential for applications requiring rapid, repeatable movements, such as assembly lines and pick-and-place robots. While his citation count (7) reflects a specialized, emerging field, the impact of his work lies in its direct applicability to real-world control systems. Moon’s research bridges the gap between theoretical optimal control and practical implementation, offering engineers a robust framework for enhancing actuator performance. His focus on jerk limitation—the rate of change of acceleration—demonstrates a keen understanding of the physical constraints that govern high-performance robotics, making his work a valuable reference for those developing next-generation automated systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Jerk-Limited Time-Optimal Reference Trajectory Generation for Robot Actuators
7 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Mokpo National University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago