A low-cost quadruped SLAM stack that adds IMU-stabilized depth scans and leg-odometry velocity constraints achieves accurate 2D mapping, localization, and navigation in indoor environments.
Demonstrating a walk in the park: Learning to walk in 20 minutes with model-free reinforcement learning,
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Robust Localization, Mapping, and Navigation for Quadruped Robots
A low-cost quadruped SLAM stack that adds IMU-stabilized depth scans and leg-odometry velocity constraints achieves accurate 2D mapping, localization, and navigation in indoor environments.