Deep learning has emerged as a revolutionary 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 approach offers several strengths over traditional regulation techniques,