2020
A Data-Driven Approach to Prediction and Optimal Bucket-Filling Control for Autonomous Excavators
RA-L 2020
We develop a data-driven, statistical control method for autonomous excavators. Interactions between soil and an excavator bucket are highly complex and nonlinear, making traditional physical modeling difficult to use for real-time control. Here, we propose a data-driven method, exploiting data obta