Slip Estimation for Autonomous Tracked Vehicles via Machine Learning

Slip is a crucial parameter in the kinematic and dynamic models of tracked vehicles, which also exercises considerable influence over the track-ground interactions. The methods based on machine learning for slip estimation only employ proprioceptive sensor signals and obtain models by learning from numerous data, but they still have some limitations. This paper explores the applicability of such m...