Youngsuk Hong
Papers
1
Total Citations
3
H-Index
1
About
Youngsuk Hong is a robotics researcher whose work centers on the optimization of robot motion through dynamic modeling and energy efficiency. In his most-cited study, "Comparative analysis of energy-based criteria for dynamics-based robot motion optimization" (2017, 3 citations), Hong provides a rigorous comparative analysis of energy-based performance criteria—such as minimum torque, electrical power loss, and friction-related energy loss—for trajectory optimization. By integrating detailed dynamics models, his research offers a foundational framework for designing more efficient and sustainable robotic systems. While his citation count is modest, this work represents a critical step in bridging theoretical dynamics with practical motion planning, offering valuable insights for researchers in robot control and automation. Hong’s contributions are particularly relevant for advancing energy-aware robotics, a growing priority in fields like manufacturing and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1