DEEP LEARNING FOR ROBOTIC CONTROL (DLRC)

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 learn intricate relationships between sensor inputs and actuator outputs. This paradigm offers several benefits over traditional manipulation techniques, such as