The autonomous robotics industry is growing rapidly with applications in warehouse automation and autonomous vehicles.
Simultaneous Localization and Mapping (SLAM) is crucial for robots to navigate unknown environments while creating maps in real-time.
A practical guide for implementing SLAM in modern C++ is available for robotics engineers to deploy reliable localization solutions.
SLAM solves the localization challenge in robotics by estimating the robot's trajectory and the environment's structure simultaneously based on sensor observations.