Performance Improvement in Robotic Arm Movement using Fuzzy and Genetic Algorithms

Abstract

Robotics is no more restricted to defined steps of machine rather it becomes more independent and self-decision making machine with the thinking power of artificial intelligence. Robots are used in the industrial applications like assembly operations, spray painting, grinding, welding, pick-and-place operations, etc. Robots perform repetitive tasks with accuracy and higher efficiency. Fully autonomous robots are still under research, which can take decision on their own to perform any task and are able to perform tasks efficiently. Industrial robots are quite prevalent in high volume manufacturing processes. In many field applications where technical support is required, manhandling is either dangerous or is not possible. In such situations, three or more arm manipulators are commonly used. They are in great demand to speed up the automation processes. Two-link robotic arm should be able to locate any location, which is the required movement in real world situations. These are used in micro to macro scale applications, viz., chip fabrications to huge mechanical actuators used in chemical processes. In these cases, the motion profile of the robot rarely changes throughout the whole operation. Therefore, searching an optimal robot arm movement is a favorable solution to those problems. Human beings are extremely complicated systems. The researcher s aim is to develop autonomous robot, which can compete with them on any level, and to perform tasks as human being perform with accuracy and efficiently. Path planning is one of the important objectives of developing autonomous robots. The evidence of the success of the intelligent human path planner suggests that the use of some intelligent, automated motion planning would be useful to investigate. Artificial intelligence can make it possible for robots to perform complex tasks easily. Advance computers have shown themselves to be extremely capable in many application areas, and have transformed the world in which we live.