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 paradigm offers several advantages over traditional manipulation techniques, such