A device for acquiring a position and orientation of an end effector of a robot is provided. The robot has a robot arm with axes coupled to one another by joints. The end effector is arranged on an end of the robot arm, optical markers are arranged on first and second axes, and a number of joints between the end effector and the first axis is lower than a number of joints between the end effector and the second axis. An optical sensor acquires image data of the optical markers. A storage device stores a kinematic model of the robot arm. An evaluation device, in a first case, determines a first position of a first optical marker and the position and orientation of the end effector and, in a second case, a second position of a second optical marker and the position and orientation of the end effector.

A control system for a manipulator includes a position indicator provided on a flange for mounting a tool of the manipulator, a position detector provided near the manipulator and configured to detect a position information of the position indicator in real time, a computer calculating a position data of the position indicator in real time according to the position information, a cloud server calculating a working parameter of a joint of the manipulator in real time by an artificial intelligence neural network according to the position data, and a controller controlling the joint in real time based on the working parameter. The artificial intelligence neural network is a self-learning neural network that calculates and automatically adjusts a weight among a plurality of neurons based on the position data.

A device for acquiring a position and orientation of an end effector of a robot is provided. The robot has a robot arm with axes coupled to one another by joints. The end effector is arranged on an end of the robot arm, optical markers are arranged on first and second axes, and a number of joints between the end effector and the first axis is lower than a number of joints between the end effector and the second axis. An optical sensor acquires image data of the optical markers. A storage device stores a kinematic model of the robot arm. An evaluation device, in a first case, determines a first position of a first optical marker and the position and orientation of the end effector and, in a second case, a second position of a second optical marker and the position and orientation of the end effector.