... coefficient Artificial neural network Welding Neural nets As is well known, many researches have been carried out on robotic arc welding, but teaching play‐back robotic welding is open‐looped manufacturing process with constant welding parameters, so the on‐line weld quality control have not widely...

... 2010 Functional programming Robotics Man machine interface Neural nets Programming an industrial robot by the typical teaching method, through the use of the robot teach pendant is a tedious and time‐consuming task that requires some technical expertise. In industry, this type...

... Robotics Neural nets Fuzzy logic Autonomous robots are playing an increasingly important role in industry to meet the high demands of automated systems, and are expected to have a capability to sense environmental information, process that information, and perform appropriate actions for a wide...

... synthesized over the domain of the input space by a number of GPFUs. The well‐defined activation function and the possibility of systematically selecting the structure and initial parameters are the reasons to adapt GNN for the contour control. Neural nets Robotics Controllers Nowadays...

... derive their advantages from the fact that they do not use any mathematical model of the system obtained from the first principle. Instead they use input‐output relations (NN) or heuristic knowledge (fuzzy logic) about the system. Fuzzy control Neural nets Robotics Design of a fuzzy logic...