Max Robotics — Global Service Robot Directory + US Certification

About

Xiyuan Liu is a leading researcher in autonomous robotics, specializing in LiDAR perception, multi-sensor calibration, and large-scale mapping. His work addresses critical challenges in enabling reliable navigation for robots and unmanned aerial vehicles (UAVs), particularly with emerging solid-state LiDARs. Liu’s major contributions include developing targetless extrinsic calibration methods for multiple small field-of-view LiDARs and cameras using adaptive voxelization (83 citations), and pioneering efficient, consistent bundle adjustment techniques for LiDAR point clouds (59 citations). He has advanced large-scale mapping consistency through hierarchical LiDAR bundle adjustment (55 citations), directly optimizing map quality beyond traditional pose graph optimization. Liu also created MARSIM, a light-weight, point-realistic simulator for LiDAR-based UAVs (55 citations), and the MARS-LVIG dataset for multi-sensor SLAM fusion (41 citations), providing essential tools for the research community. His work on joint intrinsic and extrinsic calibration in targetless environments further demonstrates his commitment to practical, deployment-ready solutions. With over 300 total citations and multiple high-impact publications, Liu’s research is foundational for the next generation of autonomous systems operating in complex, real-world environments.