DEEP LEARNING FOR ROBOTIC CONTROL (DLRC)

Deep learning has emerged as a powerful 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 advantages over traditional regulation techniques, such a