Shibo Zhao

News

• I am the organizer of Open SuperX SLAM for real-time robotics perception and Tartan SLAM series to invite speakers to share insights. Feel free to reach out if you are interested in my work and want to collaborate :-).
• I was invited to give a talk on IMU Foundation Model at Apple Curpertino, USA 2025.
• I was invited as a author to write a chapter in SLAM Handbook "From Localization and Mapping to Spatial Intelligence", USA 2025
• 1 paper is accepted at ICLR 2025 and 2 papers are accepted at CVPR 2025 and 5 papers are accepted at ICRA2025.
• I'm the organizer of ICCV23 SLAM Challenge and Workshop on Robot Learning and SLAM, at ICCV 2023.
• I was the organizer of Tartan SLAM series at CMU, Robotics Institute, 2022.
• I developed robotic state estimation and mapping algorithms, which enabled a team of robots to explore kilometer-scale underground environments in the DARPA Subterranean Challenge. I helped the team won No.1 in DARPA Tunnel Challenge,No.2 in DARPA Urban Challenge and No.4 in DARPA Final Challenge, USA 2021.

• I'm co-organizing the Robotic Perception and Mapping: Frontier Vision & Learning Techniques at IROS 2023.
• I'm co-organizing the Joint Workshop on Long-Term Visual Localization, Visual Odometry and Geometric and Learning-based SLAM at CVPR 2020.
• Start PhD at CMU, Robotics Institute, advised by Prof. Sebastian Scherer,USA 2021

Research Highlights

How can we enable robots to perceive, adapt, and understand their surroundings like humans, in real-time and under uncertainty? Just as humans rely on vision to navigate complex environments, robots need robust and intelligent perception systems, "eyes" that can endure sensor degradation, adapt to changing conditions, and recover from failure. However, today's visual systems are fragile, easily disrupted by occlusion, lighting variation, motion blur, or dynamic scenes. A single sensor dropout or unexpected environmental change can trigger cascading errors, severely compromising autonomy. My research goal is to develop resilient and intelligent visual perception systems—building the "robust eyes" robots need to thrive in the real world.