Pick and place robot automation module for learning industrial motion, web server GUI, and vision sensor using Kalman filter.

This paper developed a pick and place robot automation module for learning industrial motion, web server GUI, and vision sensor using Kalman Filter. In this system, the robot can pick up, place, distinguish the shape of an object, and predict the movement of the object container, and can also be controlled or monitored via a web server. This development is applied to the Mitsubishi arm robot with the type RV 2SDB 6 Degree of Freedom (DOF) which is equipped with a vision sensor. To detect the color and shape of objects using a vision sensor. To predict the movement when placing objects in a moving container using the Kalman Filter method. With the results obtained is a system on the robotic arm that can sort, pick up, place in moving containers, which can be controlled and monitored via a local web server. For object detection using a vision sensor with a Kalman Filter, there are 2 objects whose error is above 15% on oval and hexagon objects. On pick and place process, the robot so that it can controlled and monitored via a web server using TCP/IP protocol for communication. With a percentage of success reaching 96% and a percentage of failure of 4% on pick and place process. [ABSTRACT FROM AUTHOR]