Deep learning has emerged as a promising paradigm in robotics, enabling robots to achieve advanced control tasks. Deep learning for robotic control (DLRC) leverages deep neural networks to acquire intricate relationships between sensor inputs and actuator outputs. This approach offers several strengths over traditional control techniques, such as i