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Resilient odometry via hierarchical adaptation

Paper link: https://www.science.org/stoken/author... Website link: https://superodometry.com/ Description: Super Odometry is a resilient sensor-fusion framework that delivers accurate, real-time state estimation in challenging environments by integrating external and inertial sensing. For decades, SLAM has depended on external sensors like cameras and LiDAR. We argue it’s time to reverse this hierarchy: true robustness begins from within. By placing inertial sensing at the core of state estimation, robots gain an inner sense of motion. We believe the systems that not only see, but also feel, learn, and adapt.