This paper presents a Cartesian-space composite learning adaptive controller whose least-squares modulation-based update law tracks the prescribed tasks and ...
Adaptive control techniques have become indispensable for the precise and reliable operation of robotic manipulators in dynamic and uncertain environments. By adjusting control laws in real time to ...
A simulation-only study on a UR5 robot arm shows Gaussian Process Regression most accurately predicts joint torques, while ...
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