Young Ho Chai

Chung-Ang University, Iowa State University

Papers

Total Citations

177

H-Index

About

Young Ho Chai is a pioneering researcher in robotics and human-machine interaction, with a focus on autonomous navigation and haptic feedback systems. His work bridges the gap between virtual and physical environments, advancing technologies that enhance how machines perceive and interact with the world. Chai’s most cited paper, "A LiDAR and IMU Integrated Indoor Navigation System for UAVs and Its Application in Real-Time Pipeline Classification" (2017, 166 citations), addresses the critical challenge of simultaneous localization and mapping (SLAM) for unmanned aerial vehicles. By fusing LiDAR and inertial measurement unit data, he developed a robust system for indoor navigation, enabling real-time pipeline inspection—a breakthrough for infrastructure monitoring in GPS-denied environments. Earlier, Chai contributed to haptics with the "ISU force reflecting exoskeleton" (2002, 11 citations), a force-feedback interface that immerses users in synthetic environments by simulating contact sensations. This work laid groundwork for teleoperation and virtual reality applications. Through these contributions, Chai has demonstrated expertise in sensor integration, autonomous systems, and human-robot interaction, earning recognition for solving practical challenges in navigation and sensory feedback.