Younsik Kang
Papers
2
Total Citations
19
H-Index
2
About
Younsik Kang is a robotics researcher specializing in whole-body motion control for rescue robots operating in hazardous environments. His work focuses on developing robust control strategies that enable robots to safely extract casualties from dangerous situations, addressing the critical challenge of human-robot interaction in emergency response scenarios. Kang’s most influential paper, “A whole-body rescue motion control with task-priority strategy for a rescue robot” (2016), has garnered 17 citations, establishing a foundational approach for prioritizing multiple tasks in redundant robotic systems during rescue missions. His earlier work, “Whole-body motion control for a rescue robot using robust task-priority based CLIK” (2015), introduced a specific behavior strategy tailored to the unique configuration of rescue robots, leveraging their redundant degrees of freedom to achieve stable and effective casualty extraction. By integrating task-priority frameworks with closed-loop inverse kinematics (CLIK), Kang has advanced the field of rescue robotics, providing practical solutions that enhance robot autonomy and safety in life-threatening environments. His contributions are particularly valuable for researchers developing disaster-response robots and human-robot collaboration systems.
Research Focus
Key Achievements
Top Papers
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- 2