2025
Reinforcement Learning-Based Autonomous Control Methodology of Hydraulic Excavators
IROS 2025
The automation of hydraulic excavators is significant for enhancing productivity and safety in uncertain and dynamic environments. Achieving autonomous operation requires advanced control strategies capable of handling system constraints, nonlinear hydraulic dynamics, and complex environmental inter