AMCL (Adaptive Monte Carlo Localization) is a probabilistic robot localization algorithm that uses a particle filter to estimate the robot's pose based on sensor data, such as laser range finder or sonar readings. It is designed to work in environments with non-uniform distributions of landmarks and can handle complex scenarios with moving obstacles and dynamic changes in the environment.