Leg ODOmetry

Leg odometry, the process of estimating a robot's position and orientation using leg movement data, is a crucial component of autonomous navigation, particularly in challenging environments where GPS is unavailable. Current research emphasizes improving accuracy and robustness through sensor fusion (e.g., combining leg odometry with LiDAR, radar, IMUs, and cameras), advanced algorithms like Kalman filters and Gaussian processes, and the development of novel neural network architectures for kinematic model learning and point cloud processing. These advancements are significant for enhancing the reliability and precision of robotic systems in various applications, including autonomous driving, exploration, and search and rescue.