By Dan Zhang, Bin Wei
Featuring chosen contributions from the 2d foreign convention on Mechatronics and Robotics Engineering, held in great, France, February 18–19, 2016, this publication introduces fresh advances and cutting-edge applied sciences within the box of complex clever manufacturing.
This systematic and punctiliously particular assortment presents a useful reference resource for mechanical engineering researchers who are looking to know about the newest advancements in complicated production and automation, readers from looking power ideas for his or her personal purposes, and people eager about the robotics and mechatronics industry.
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Extra resources for Mechatronics and Robotics Engineering for Advanced and Intelligent Manufacturing
Mobile Robot Applied to QR Landmark Localization … 47 The rest of the paper is organized as follows. Start with a review of the related work in Sect. 2. Then describe the overview of our methodology in Sect. 3 and describe the scenario in Sect. 4. Introduction of an algorithm for mobile robot actions in Sect. 5. Later on, the paper present the experimental results along with robotics demonstrations in Sect. 6 and ﬁnally conclude the paper in Sect. 7. 2 Related Work Collecting information about the selected features in the environment is a requirement for localization, which can be obtained using various sensors (Skrzypczyński 2009), among which the most popular is vision systems.
2003). Robot safety analysis methods. In Proceedings of the 11th National Conference on Machines and Mechanics. India, pp. 86–93. Guidelines for Robotics Safety. In: Occupational Safety and Health Administration (OSHA). S. Department of Labor, Washington, DC. p_table=DIRECTIVES&p_id=1703 Industrial robots and robot system safety. (2013). S. Department of Labor, Washington, DC. html Kelly, S. (2003). Robot safety begins with the design process. In Robotics Online. http://www. , & Eriksson, P. J.
6 and ﬁnally conclude the paper in Sect. 7. 2 Related Work Collecting information about the selected features in the environment is a requirement for localization, which can be obtained using various sensors (Skrzypczyński 2009), among which the most popular is vision systems. Nowadays cameras are considered the most appropriate sensors for mapping QR landmarks in the environment for mobile robot navigation tasks, and thus widely used in many research and practical applications (Yudin et al. 2013).