Max Robotics — Global Service Robot Directory + US Certification

About

Shibo Zhao is a robotics researcher specializing in state estimation, sensor fusion, and autonomous navigation in challenging and GPS-denied environments. His work focuses on enabling robots to perceive and navigate through perceptually degraded conditions — from smoke-filled tunnels to extreme weather — using multi-modal sensing strategies. Zhao's most celebrated contribution is **Super Odometry** (2021, 185 citations), a high-precision IMU-centric LiDAR-Visual-Inertial framework that achieves robust state estimation in environments where individual sensors routinely fail. This work has become a foundational reference in resilient robot navigation. He also pioneered thermal-inertial odometry through **TP-TIO** (2020, 55 citations), introducing deep learning-based feature extraction for reliable motion estimation using thermal cameras — a significant advance for nighttime and smoke-degraded scenarios. Zhao has contributed substantially to subterranean robotics, including team-based autonomous exploration systems (2022, 50 citations) and the comprehensive **SubT-MRS Dataset** (2024, 46 citations), which pushes SLAM benchmarking toward all-weather resilience. His involvement in the prestigious **DARPA Subterranean Challenge** further underscores his real-world impact, where his team achieved leading sector exploration at the Finals. With over 340 cumulative citations, Zhao's research is shaping the future of resilient autonomous systems.