DEEP LEARNING FOR ROBOTIC CONTROL (DLRC)

Deep learning has emerged as a powerful paradigm in robotics, enabling robots to achieve sophisticated control tasks. Deep learning for robotic control (DLRC) leverages deep neural networks to learn intricate relationships between sensor inputs and actuator outputs. This methodology offers several advantages over traditional manipulation techniques