End Effector

An end effector is the robotic component that interacts directly with the environment, performing tasks like grasping, manipulation, and sensing. Current research focuses on improving end effector design and control, particularly for applications in assistive robotics, rehabilitation, and precision agriculture, employing techniques like deep reinforcement learning, inverse kinematics algorithms, and model-predictive control to achieve precise and robust manipulation. These advancements are driving progress in areas such as human-robot interaction, surgical robotics, and automated manufacturing, enabling more sophisticated and adaptable robotic systems.