Objective Motion Generation with Operators

Most industrial applications with vision sensors can be divided into the following four types dimensional inspection, surface quality inspection, assembly inspection, and operation inspection. In the assembly line, vision sensors are widely used in robots as the machine vision to help them recognize the positions/orientations of objects to be handled or assembled, to determine the presence or absence of parts, and to detect parts which do not meet required specifications. Zhu et al. (2013) and Chadda et al. (2011) built vision systems using low-cost cameras such as Wii Remotes and Firefly MV cameras to track the object or human motion in an assembly line. Object motion data was used to generate assembly simulation for training, and human motion data was used to do ergonomic analysis to help design a better assembly cell. 

The process to solve other motion generation problems is described, to make clear a procedure to apply proposed methods to other problems, and to prove the effectiveness of the methods. The curling around an object was selected as typical example. This is because deformable machines should be good at manipulating an object without damaging by its nature. The problem is only how we realize it. The two-dimensional system and beam-shaped gel with fixing point placed below the array of electrodes were selected. Since the operators are already arranged, we start from the second step. 

---