Panus Nattharith
[1] The Robotics Primer. (Cambridge, MA, USA: MIT Press,2007). [2] Introduction to Autonomous Mobile Robots, 2nd ed.(Cambridge, MA, USA: MIT Press, 2011). [3] P. Nattharith and R. Bicker, Mobile robot navigation using a behavioural strategy, Proc. Control and Application (CA 2009), Cambridge, UK, 2009, 143–148. [4] H. Li, F. Karray, and O. Basir, An Optimization algorithm for the coordinated hybrid agent framework, International Journal of Robotics and Automation, 25(1), 2010, 26–37. [5] Handbook of Industrial Robotics, 2nd ed. (Hoboken, NJ, USA: John Wiley & Sons, Inc, 1999). [6] Autonomous Robots: From Biological Inspiration to Implementation and Control. (Cambridge, MA, USA: MIT Press,2005). [7] A. Oreback and H.I. Christensen, Evaluation of architectures for mobile robotics, Autonomous Robots, 14(1), 2003, 33–49. [8] P. Nattharith, Fuzzy logic based control of mobile robot navigation: a case study on iRobot Roomba Platform, Scientific Research and Essays, 8(2), 2013, 82–94. [9] O.R.E. Motlagh, T.S. Hong, and N. Ismail, Development of a new minimum avoidance system for a behavior-based mobile robot, Fuzzy Sets and Systems, 160(13), 2009, 1929–1946. [10] R.H. Abiyev, et al., Behaviour tree based control for efficient navigation of holonomic robots, International Journal of Robotics and Automation, 29(1), 2014, 44–57. [11] B. Qing-Yong, et al., A fuzzy behavior-based architecture for mobile robot navigation in unknown environments. Proc. Int. Conf. Artificial Intelligence and Computational Intelligence, Shanghai, 2009, 257–261. [12] Y.-K. Na and S.-Y. Oh, Hybrid control for autonomous mobile robot navigation using neural network based behavior modules and environment classification, Autonomous Robots, 15(2), 2003, 193–206. [13] E. Aguirre and A. Gonzalez, Fuzzy behaviors for mobile robot navigation: design, coordination and fusion, International Journal of Approximate Reasoning, 25(3), 2000, 255–289. [14] H. Mo, Q. Tang, and L. Meng, Behavior-based fuzzy con-trol for mobile robot navigation. Mathematical Problems inEngineering, 2013. [15] Behavior-Based Robotics, 1st ed. (Cambridge, MA, USA:MIT Press, 1998). [16] R.A. Brooks, A robust layered control system for a mobile robot, IEEE Journal of Robotics and Automation, RA-2(1), 1986, 14–23. [17] R.C. Arkin, Motor schema-based mobile robot navigation, International Journal of Robotics Research, 1989, 92–112. [18] F. Hoffmann, An overview on soft computing in behaviorbased robotics, Proc. Int. Fuzzy Systems Association WorldCongress, 2003, 544–551. [19] R. Huq, G.K.I. Mann, and R.G. Gosine, Mobile robot navigation using motor schema and fuzzy context dependent behavior modulation, Applied Soft Computing, 8, 2008, 422–436. [20] P. Nattharith, Behaviour modulation using fuzzy logic control for mobile robot navigation, International Journal of Engineering and Physical Sciences, 6, 2012, 341–347. [21] M. Shayestegan, et al., Fuzzy logic-based robot navigation in static environment with dead cycle obstacles, International Journal of Robotics and Automation, 28(4), 2013, 379–388. [22] L. Tang, et al., A novel potential field method for obstacle avoidance and path planning of mobile robot. Proc. 3rd IEEE Int. Conf. Computer Science and Information Technology, Chengdu, 2010, 633–637. [23] H.Z. Zhang, S.Y. Xiong, and Y. Liu, Real-time path planning of multiple mobile robots in a dynamic certain environment, International Journal of Robotics and Automation, 28(1), 2013, 13–20. [24] A. Al-Jumaily and C. Leung, Wavefront propagation andfuzzy based autonomous navigation, International Journal ofAdvanced Robotic Systems, 2(2), 2005, 93–102. [25] P. Nattharith and M.S. Guzel. An indoor mobile robot development: a low-cost platform for robotics research, Proc. Int. Electrical Engineering Congress 2014, Thailand, 2014. [26] Range-finder type laser scanner UGR-04LX specifications,Available from: https://acroname.com/products/HOKUYO-URG-04LX-LASER, 2015.
Important Links:
Go Back
