The Role Of AI in The Evolution Of Industrial Robotics
Robotics and software Engineers around the world are striving to improve the learning capabilities of industrial robots. This comes after all manufacturing, and service-based companies started introducing automation-induced streamlining of their workflow to reduce production and export time. Industrial robots today are being taught via machine learning algorithms to perform monotonous chores such as welding, assembly, disassembly, pick and place for printed circuit boards, packaging and labelling, palletising, product inspection, testing, etc. Program algorithms need to be manually updated every time a new or modified task is to be assigned to the robots. However, as they are incapable of tackling unidentified errors or remembering previously performed actions for long terms, it becomes mandatory to rewrite the robot’s memory programming multiple times for a multi-step task. This becomes quite painstaking overtime as it consumes a lot of time and doesn’t improve the machi...
