Scara Robot

In October 2016, the White House, the European Parliament, and the UK House of Commons each issued a report outlining their visions on how to prepare society for the widespread use of AI. In this article, we provide a comparative assessment of these three reports in order to facilitate the design of policies favourable to the development of a 'good AI society'. To do so, we examine how each report addresses the following three topics: (a) the development of a 'good AI society'; (b) the role and responsibility of the government, the private sector, and the research community (including academia) in pursuing such a development; and (c) where the recommendations to support such a development may be in need of improvement. Our analysis concludes that the reports address adequately various ethical, social, and economic topics, but come short of providing an overarching political vision and long-term strategy for the development of a 'good AI society'. In order to contribute to fill this gap, in the conclusion we suggest a two-pronged approach.

This paper deals with an overview of recent microgrippers. As the end-effectors of micromanipulation systems, microgrippers are crucial point of such systems for their efficiency and their reliability. The performances of current microgrippers are presented and offer a stroke extending from 50 m to approximately 2 mm and a maximum forces varying from 0,1 mN to 600 mN. Then, micromanipulation system based on a piezoelectric microgripper and a SCARA robot is presented.

Recognizing and accurately classifying colors in industrial applications is a critical challenge in developing robotics painting applications. To achieve this, many painting robots are attached with expensive color sensors. However, these sensors are coming with some drawbacks such as color ranges limitation and sensitivity to illumination in addition to their high costs. In the last decades, camera systems gained importance in robotics applications with the power presented by the computer vision techniques. The main objective of this paper is to design an automation line that includes a robot and camera system to perform painting in different colors, with various illumination conditions at cheaper costs. The proposed system can be used to paint multiple colors effectively and accurately. The power of the system comes from the color detection and classification algorithm that is designed using computer vision techniques. The algorithm is designed under C++ environment using OpenCV library. The system will able to detect all colors that are adjusted/predefined offline by the user and to work in different illumination conditions. The end-effector of the robot consists of two main parts, a camera to detect the desired color and an automatic spray gun to perform the painting operation. The proposed color detection system will be based on a small sticker pasted on the object that will be painted. When the desired color is detected, the system starts the painting operation. Moreover, the system has the capability to automatically cleaning the spray gun and the connected tubes in the case that the successive object is to be painted with different color.

Patterning mosaics can be obtained by combining together small pieces of stone, glass, wood, glazed tiles to make some picture and illustration. Mosaic patterning processes are carried out manually for thousand years. In this work, a software is studied which will provide mosaic patterning process automatically. For this purpose; software named SMT 2005 has been developed to obtain different mosaic configurations. The software also tested with experimental applications by SCARA robot on real environment using different shaped and coloured marble parts and successful results are obtained.