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History of Robotics Research and Development of Japan2012Sensing3D shape measurement unit MotoEye-3D

Toshimitsu IrieYASKAWA ELECTRIC CORPORATION
Huminori KutsukakeYASKAWA ELECTRIC CORPORATION
Yuya YasudaYASKAWA ELECTRIC CORPORATION
Toshiki ItoYASKAWA ELECTRIC CORPORATION
Yuji IchimaruYASKAWA ELECTRIC CORPORATION
The manufacturing industry will face a manpower shortage due to low birth rate in the near future, and the interest to Factory Automation has been increasing. Using robots, many companies are aggressively making efforts to realize the automation of production processes these days, e.g. assembly task of components which have complicated shape or pick-and-place task of randomly piled parts in a pallet. For robots to perform these tasks, the position and posture information of a component is necessary. To obtain these information, a three-dimensional shape recognition unit, MotoEye-3D, has been developed. The measurement of an object with MotoEye-3D is based on the principle of triangulation. Laser slit lights radiated from MotoEye-3D reflect at an object surface, and the three-dimensional shape of the object is calculated by measuring those reflected light with an equipped high-speed camera. MotoEye-3D also has capability to calculate the position and posture of the object. This enables robots to recognize and pick a component. The followings are the features of MotoEye-3D. - high speed, high accuracy measurement at wide field of view - no additional illumination device needed (laser device is installed) - interference avoidance : In bin picking application, the possibility of interference between robot hand and pallet or other components are evaluated beforehand. - all-in-one unit : Optical components (camera and laser device) and a processing part are installed in one unit. Compact design and wire-saving. -Available under an inferior environment (Conformity with IP54) With MotoEye-3D, the operations that have been carried out by human hand until now such as assembly or pick-and-place, will be automated by robot system. Besides FA, the range of robot application will expand and it will be able to meet more expectations of automation in other various fields. 18th RSJ Technical Innovations Award in 2013.
MotoEye-3D外観写真
Picture of MotoEye-3D

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[1] Yuji Ichimaru, Hisashi Ideguchi, Toshiki Ito, Toshiyuki Kono: "Environment Recognition for Robots," YASKAWA TECHNICAL REVIEW, vol. 75, no. 2, pp. 101-104, 2011 (in Japanese).

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