Kyunghwan Cho

Korea Institute of Industrial Technology

Papers

Total Citations

H-Index

About

Kyunghwan Cho is a researcher specializing in teleoperation systems, human-robot interaction, and virtual reality (VR) visualization. His work focuses on enhancing the safety and effectiveness of remote operation through intelligent control and immersive feedback. Cho’s most notable contribution is the development of a shared controller for obstacle avoidance in teleoperation systems, which integrates human input with autonomous assistance to prevent collisions in complex environments. This work has garnered 8 citations, reflecting its relevance to advancing teleoperated robotics. Additionally, he proposed a VR visualization system that incorporates deep learning to recognize and display both 2D and 3D environmental information, enabling operators to perceive remote situations more intuitively. This system, cited 4 times, improves teleoperability by reducing cognitive load and increasing situational awareness. Cho’s research bridges the gap between human decision-making and machine autonomy, offering practical solutions for applications in hazardous or inaccessible environments. His achievements demonstrate a commitment to making teleoperation safer, more efficient, and more accessible, positioning him as a contributor to the evolving field of remote robotic control.