The Unified Autonomy Stack: SLAM Module Evaluation @autonomousrobotslab
The Unified Autonomy Stack: SLAM Module Evaluation  @autonomousrobotslab
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.
The Unified Autonomy Stack: SLAM Module EvaluationSafe Quadrotor Navigation using Composite Control Barrier FunctionsAerial Robotic Physical Interaction using a Quadrotor (Preliminary results)CERBERUS Field Testing at Gonzen Mine - Aerial Scouts Exploration & HomingAutonomous Under Canopy Navigation and Mapping in Dense Forests (DigiForest @ Evo, Finland)Anomaly Detection and Cognizant Path Planning for Surveillance Operations using Aerial RobotsAutonomous Distributed Radiation Field Characterization and Informative Planning: Experiment #3Morphy: a Compliant and Morphologically-Aware Flying RobotAutonomous Underwater Exploration & Inspection in Visually-degraded EnvironmentsRobotics Day 2017 - ARL - Sebastian Scherer - Safe and Robust Flight in Challenging ConditionsAutonomous Under Canopy Navigation & Mapping in Forests (DigiForest @ Stein am Rhein, Switzerland)AtlantikSolar - Flying Forever
Kostas Alexis |

The Unified Autonomy Stack: SLAM Module Evaluation

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