Yuxi Ban

University of Electronic Science and Technology of China

Papers

Total Citations

211

H-Index

About

Yuxi Ban’s research lies at the intersection of robotics, control theory, and computer vision, with a focus on enhancing the precision and autonomy of teleoperation and surgical systems. In their highly cited work on adaptive control for time-delay teleoperation (141 citations), Ban developed a bilateral control method that robustly handles uncertain dynamics and communication delays—critical for enabling stable, force-feedback remote manipulation in applications like telesurgery. This contribution addresses a fundamental challenge in human-robot interaction, ensuring both stability and tracking performance under real-world constraints. Complementing this, Ban’s work on monocular depth estimation (70 citations) tackles the problem of recovering three-dimensional information from defocused microscopic images, a key enabler for surgical robot guidance and industrial inspection. By extracting depth from single-camera setups, this method reduces hardware complexity while improving spatial awareness. Together, these contributions demonstrate Ban’s impact in advancing both the control and perception layers of robotic systems, with applications ranging from minimally invasive surgery to automated manufacturing. Their work is widely cited for its practical relevance and theoretical rigor in addressing real-time, uncertain environments.