Development of a Tracked Vehicle Robot with 3D Measurement System using Laser Range Finder
Main Article Content
Abstract
This paper presents a tracked vehicle robot witch has been developed in our laboratory and the “Embedded System Research and Development Center” of Tohoku Institute of Technology. The robot has two crawlers at the both sides. The crawler consists of rubber blocks, a chain and three sprocket wheels. The rubber blocks are fixed on each attachment hole the chain. The robot therefore can move in a variety of field including rough terrain. We have also developed a novel 3D measurement system using a laser ranged finder with an arm-type movable unit. This system is mounted on the robot and enables the robot to measure variety of 3D configuration. Because of the occlusion can be avoided by this mechanism, the robot can measure a 3D configuration such as valley, gap, upward or downward stairs more accurately. Experimental results showed that proposed system is useful for sensing more complex terrain and applicable to industrial technology area.
Article Details
Article Accepting Policy
The editorial board of Thai-Nichi Institute of Technology is pleased to receive articles from lecturers and experts in the fields of business administration, languages, engineering and technology written in Thai or English. The academic work submitted for publication must not be published in any other publication before and must not be under consideration of other journal submissions. Therefore, those interested in participating in the dissemination of work and knowledge can submit their article to the editorial board for further submission to the screening committee to consider publishing in the journal. The articles that can be published include solely research articles. Interested persons can prepare their articles by reviewing recommendations for article authors.
Copyright infringement is solely the responsibility of the author(s) of the article. Articles that have been published must be screened and reviewed for quality from qualified experts approved by the editorial board.
The text that appears within each article published in this research journal is a personal opinion of each author, nothing related to Thai-Nichi Institute of Technology, and other faculty members in the institution in any way. Responsibilities and accuracy for the content of each article are owned by each author. If there is any mistake, each author will be responsible for his/her own article(s).
The editorial board reserves the right not to bring any content, views or comments of articles in the Journal of Thai-Nichi Institute of Technology to publish before receiving permission from the authorized author(s) in writing. The published work is the copyright of the Journal of Thai-Nichi Institute of Technology.
References
M. Hashimoto, Y. Matsui, and K. Takahashi, “Moving-object tracking with in-vehicle multi-laser range sensors,” Journal of Robotics andMechatronics, vol. 20, no. 3, pp. 367–377, 2008.
T. Ueda, H. Kawata, T. Tomizawa, A. Ohya, and S. Yuta, “Mobile SOKUIKI Sensor System-Accurate Range Data Mapping System with Sensor Motion,” in Proceedings of the 2006 International Conference on Autonomous Robots and Agents.
K. Ohno and S. Tadokoro, “Dense 3D map building based on LRF data and color image fusion,” in 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005.(IROS 2005), 2005, pp. 2792–2797.
J. Poppinga, A. Birk, and K. Pathak, “Hough based terrain classification for realtime detection of drivable ground,” Journal of Field Robotics, vol. 25, no. (1-2), pp. 67–88, 2008.
A. Nuchter, K. Lingemann, and J. Hertzberg, “Mapping of rescue environments with kurt3d,” in In Proc. IEEE SSRR 2005, 2005, pp. 158–163.
Z. Nemoto, H. Takemura, and H. Mizoguchi, “Development of Smallsized Omni-directional Laser Range Scanner and Its Application to 3D Background Difference,” in Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE, 2007, pp. 2284–2289.
L. Iocchi, S. Pellegrini, and G. Tipaldi, “Building multi-level planar maps integrating LRF, stereo vision and IMU sensors,” in Safety, Security and Rescue Robotics, 2007. SSRR 2007. IEEE International Workshop on, 2007, pp.1–6.
Hokuyo Automatic Co., Ltd., in https://www.hokuyo-aut.co.jp.