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The Scientific World Journal
Volume 2014, Article ID 793526, 13 pages
http://dx.doi.org/10.1155/2014/793526
Research Article

Path-Following Control of Wheeled Planetary Exploration Robots Moving on Deformable Rough Terrain

1State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150080, China
2Key Lab of Autonomous System and Network Control, College of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China

Received 31 December 2013; Accepted 27 February 2014; Published 26 March 2014

Academic Editors: N.-I. Kim, M. A. Seddeek, Z. Zhang, and X. Zhou

Copyright © 2014 Liang Ding et al. 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.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Jun Dai, Naohiko Hanajima, Toshiharu Kazama, and Akihiko Takashima, “An Improved Path-Generating Regulator for Two-Wheeled Robots to Track the Circle/Arc Passage,” Mathematical Problems in Engineering, vol. 2014, pp. 1–13, 2014. View at Publisher · View at Google Scholar
  • Ding Liang, Gao HaiBo, Deng ZongQuan, Li YuanKai, Liu GuangJun, Yang HuaiGuang, and Yu HaiTao, “Three-layer intelligence of planetary exploration wheeled mobile robots: Robint, virtint, and humint,” Science China-Technological Sciences, vol. 58, no. 8, pp. 1299–1317, 2015. View at Publisher · View at Google Scholar
  • Shu Li, Liang Ding, Haibo Gao, Chao Chen, Zhen Liu, and Zongquan Deng, “Adaptive Neural Network Tracking Control-Based Reinforcement Learning for Wheeled Mobile Robots with Skidding and Slipping,” Neurocomputing, 2017. View at Publisher · View at Google Scholar
  • Yan Xu, Hongpeng Yu, He Xu, Peiyuan Wang, Ozoemena Anthony Ani, and Gao, “Measurement of wheel-terrain contact angle for WMRs on rough terrain using laser scanning sensor,” Industrial Robot, vol. 44, no. 6, pp. 798–807, 2017. View at Publisher · View at Google Scholar