![]() SLAM algorithm is the essential process of building a map of the environment while simultaneously determining its location within this map. Some artificial intelligence methods are used in the SLAM of the mobile robots, such as reinforcement learning, which we will study for NAO humanoid robot in the future. SLAM algorithm can be recognized and localized in an unknown environment. ![]() In this case, simultaneous localization and mapping (SLAM) approach is employed to make a robot truly autonomous without the need for any a priori knowledge of location. Precise position estimation is a necessary prerequisite for a reliable navigation. For example, the robots need to detect and avoid obstacles that they might encounter in the environment. It is important that the service robots can roam around in order to assist humans or to perform various tasks in such surroundings. The focus of this paper is the indoor environments such as homes, offices, and hospitals. Autonomous navigation in an unknown environment is regarded as a key attribute of a service robot and has received considerable attention in the last two decades. Robot has been used in many areas, such as industry process and autonomous navigation. Finally, simulation and experiments show that the proposed method is efficient and reliable for navigation in indoor environments. The closed-loop controller reduces the error between the real position and estimated position. In addition, the robot avoids the obstacles by the avoidance function. K-means clustering method is implemented to extract data from different objects. The camera is used to recognize the landmarks whereas the laser provides the information for simultaneous localization and mapping (SLAM). The method is based on the integration of laser and vision system. We present a SLAM with closed-loop controller method for navigation of NAO humanoid robot from Aldebaran. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Rad Revised 24 June 2014 Accepted 25 June 2014 Published 10 July 2014Ĭopyright © 2014 Shuhuan Wen et al. 250-13450,102 Avenue, Surrey, BC, Canada V3T0A3ģ Parallel Robot and Mechatronic System Laboratory ofHebei Province and Key Laboratory of Advanced Forging & Stamping Technology and Science of Ministry of National Education, Yanshan University, Qinhuangdao 066004, ChinaĬorrespondence should be addressed to Ahmad B. Rad,2 Yixuan Zhang,2 and Yongsheng Zhao3ġ Key Lab of Industrial Computer Control Engineering ofHebei Province, Yanshan University, Qinhuangdao 066004, ChinaĢ School of Engineering Sciences, Simon Fraser University, No. Shuhuan Wen,1 Kamal Mohammed Othman,2 Ahmad B. Indoor SLAM Using Laser and Camera with Closed-Loop Controller for NAO Humanoid Robot Hindawi Publishing Corporation Abstract and Applied Analysis Volume 2014, Article ID 513175, 8 pages
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