Uploaded May 2026 | Updated September 2026, 3 weeks ago
SLAM Results of the Unified Autonomy Stack
Main video: youtu.be/l8Su8OXsM-E
MIMOSA-X is a tightly-coupled factor graph-based fusion framework for resilient robot state estimation. A GTSAM sliding-window smoother fuses IMU, LiDAR, and FMCW radar (plus optional external odometry, such as from Vision) into a single estimate that remains robust even when any individual modality becomes degenerate or fails entirely.
SLAM Results of the Unified Autonomy Stack
Main video: youtu.be/l8Su8OXsM-E
MIMOSA-X is a tightly-coupled factor graph-based fusion framework for resilient robot state estimation. A GTSAM sliding-window smoother fuses IMU, LiDAR, and FMCW radar (plus optional external odometry, such as from Vision) into a single estimate that remains robust even when any individual modality becomes degenerate or fails entirely.










