Shivkumar Sankaralingam

Manipulator Control Using DRL: Sim-to-Real Validation on a 3-DoF Arm

Deep reinforcement learning is emerging as a powerful alternative to traditional inverse kinematics for controlling robotic manipulators. By learning optimal actions through interaction with the environment, it enables adaptable and precise control in complex continuous workspaces, making it suitable for dynamic manipu...