Yukai Lin
Papers
2
Total Citations
21
H-Index
2
About
Yukai Lin is a robotics researcher specializing in aerial-ground collaborative sensing, visual-inertial odometry (VIO), and teleoperation systems for time-critical applications. His work focuses on enhancing robot perception and control in challenging environments, particularly for search and rescue (SaR) operations. Lin’s most cited paper, “Aerial-Ground Collaborative Sensing: Third-Person View for Teleoperation” (2018, 19 citations), introduces a novel approach to teleoperating ground robots using a third-person perspective from an aerial vehicle. This method significantly improves navigation efficiency over difficult terrains compared to traditional first-person views, addressing key deployment and operation challenges in SaR scenarios. In his more recent work, “A Versatile Keyframe-Based Structureless Filter for Visual Inertial Odometry” (2020, 2 citations), Lin develops a robust VIO framework that fuses camera and IMU data to estimate motion with consistent covariance while calibrating sensor parameters—a critical advancement for reliable robot localization. Though early in his citation impact, his contributions to collaborative sensing and efficient state estimation demonstrate strong potential for advancing autonomous systems in emergency response and field robotics.
Research Focus
Key Achievements
Top Papers
- 1Aerial-Ground collaborative sensing: Third-Person view for teleoperation19 citations · 2018
- 2