This paper presents a search methodology for the optimal operational path of robots using a genetic algorithm. The work scheduled to be performed using a robot was characterized. Collision avoidance between the robot including the working tool and the target object was considered. In this study, we followed the general steps of data mining. We compared the time taken by the robot moving along the path created by our proposed methodology with the time taken for the robot along the path created by real humans. The results show that the path generated by this study was more efficient than that of humans.

This paper presents an experimental observation of the rotation of a magnetostrictive motor about an arbitrary axis using a Terfenol-D rod and a helical magnetic field. Mangetostrictive motors consist of a solenoidal coil that generates a longitudinal magnetic field, a toroidal coil that generates a circumferential magnetic field, a Terfenol-D rod, a stator, a rotor, and so on. Two experiments were conducted in order to confirm the motors rotation about an arbitrary axis. The first measures the twist angle of the Terfenol-D rod and the second measures the tilt angle of the rotor with respect to the z-axis. The twist angle can be determined by the strain value of the strain gauge attached to the Terfenol-D rod. The tilt angle was obtained using a new trajectory tracking method with five cameras. When the ratio between the circumferential magnetic field and the longitudinal magnetic field changes, the twist and tilt angles also change.

Most research on the inkjet printing technology has focused on the development of inkjet head itself, and of process, not on the landing accuracy of the droplets to a target. Thus, this paper presents the modeling and experimental verification on the static landing accuracy and precision of the droplets from the magnetostrictive inkjet head. A simple model based on the angle deviation of a nozzle tip and on a distance to a substrate is considered, assuming that there is no ambient effect. The angle deviation of the nozzle tip is determined by using its digital image with the aid of a pixel calculation program, and the distance to the substrate is set to 1 mm. Three experiments have planned and preformed. The first experiment is to collect the initial data for the landing distribution of the droplets. The second experiment is to collect the repeatability data of the stage used. Then, these data are used to rederive the equation for the final landing position of the droplet. The final experiment is to verify the equation and to show the calibration results. The respective landing accuracy of the droplet after calibration on the x-axis and on y axis has improved from 338.51 μm and -133.63 μm to 7.06 μm and 13.11 μm. The respective percent improvement on the x-axis and on y axis reaches about 98 and about 90. The respective landing precision of the droplet after calibration on the x-axis and on y axis has improved from ±182.6 μm and ±182.88 μm to ±24.64 μm and ±42.76 μm. The respective percent improvement on the x-axis and on y axis reaches about 87 and about 77.