Journal of Engineering and Applied Sciences

Year: 2019
Volume: 14
Issue: 19
Page No. 7187 - 7192

2-D Terrain Chart Mapping for a Navigation Robot using Tactile Sensor for System Modelling

Authors : M. Utsav and R. Gomathi Bhavani

References

Bhavani, R.G. and M.A. Khan, 2009. An intelligent simulation model for blind position control in daylighting schemes in buildings. Building Simulation, 2: 253-262.
CrossRef  |  

Bhavani, R.G. and M.A. Khan, 2010. Intelligent controllers for integrated lighting schemes: Model based approach combining simulator and learning. Intl. J. Simul. Syst. Sci. Technol., 11: 33-40.
Direct Link  |  

Gomez, E.Z., 2015. Map-building and planning for autonomous navigation of a mobile robot. Ph.D Thesis, Department of Automatic Control, Center for Research and Advanced Studies of the National Polytechnic Institute, Mexico.

Jang, J.S., 1993. ANFIS: Adaptive-network-based fuzzy inference system. IEEE. Trans. Syst. Man Cybern., 23: 665-685.
CrossRef  |  Direct Link  |  

Jang, J.S.R. and E. Mizutani, 1996. Levenberg-Marquardt method for ANFIS learning. Proceedings of the Conference on North American Fuzzy Information Processing Society, June 19-22, 1996, IEEE, New York, USA., ISBN:0-7803-3225-3, pp: 87-91.

Jang, J.S.R., 1992. Neuro-fuzzy modeling: Architecture, analyses and applications. Ph.D Thesis, Department of Electrical Engineering and Computer Science, University of California, Berkeley, USA.

Jang, J.S.R., C.T. Sun and E. Mizutani, 1997. Neuro-fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence. Prenctice Hall International, New Jersey, USA., ISBN:9780132874670, Pages: 614.

Kweon, I.S., 1991. Modeling rugged terrain by mobile robots with multiple sensors. Ph.D Thesis, Carnegie Mellon University, Pittsburgh, USA.

Landau, I.D., R. Lozano, M. M’Saad and A. Karimi, 2011. Adaptive Control: Algorithms, Analysis and Applications. 2nd Edn., Springer, London, UK., ISBN:9780857296641, Pages: 590.

Lin, S.W., C.C. Tuan, T.F. Lee, C.H. Lu and C.H. Chang et al., 2013. Recognition of gait patterns with partial weight bearing using insole plantar pressure sensor. Proceedings of the 3rd IASTED Asian Conference on Modelling, Identification and Control, AsiaMIC Vol. 2013, April 10-12, 2013, Phuket, Thailand, pp: 14-20.

Nam, T., J. Shim and Y. Cho, 2017. A 2.5 D map-based mobile robot localization via cooperation of aerial and ground robots. Sens., 17: 2730-2753.
CrossRef  |  PubMed  |  Direct Link  |  

Nauck, D., F. Klawonn and R. Kruse, 1997. Foundations of Neuro-Fuzzy Systems. John Wiley and Sons, New York, ISBN-13: 9780471971511, Pages: 316.

Petkovic, D., M. Issa, N.D. Pavlovic, N.T. Pavlovic and L. Zentner, 2012. Adaptive neuro-fuzzy estimation of conductive silicone rubber mechanical properties. Expert Syst. Appl., 39: 9477-9482.
CrossRef  |  Direct Link  |  

Sanderson A.C., L.E. Weiss and C.P. Neuman, 1987. Dynamic sensor-based control of robots with visual feedback. IEEE Trans. Robot. Automat. RA, 3: 404-417.
CrossRef  |  

Schadler, M., J. Stuckler and S. Behnke, 2014. Rough terrain 3D mapping and navigation using a continuously rotating 2D laser scanner. KI Kunstliche Intelligenz, 28: 93-99.
CrossRef  |  Direct Link  |  

Tian, D., 2016. Cooperative mobile robots optimal mapping and navigation. Ph.D Thesis, Ecole Centrale de Lille, France.

Wells, D., 2006. Terrain mapping with a tracked robot. MSc Thesis, The University of Western Australia, Crawley, Austarlia.

Wettels, N., A.R. Parnandi, J.H. Moon, G.E. Loeb and G.S. Sukhatme, 2009. Grip control using biomimetic tactile sensing systems. IEEE. ASME. Trans. Mechatron., 14: 718-723.
CrossRef  |  Direct Link  |  

Wolf, D.F., G.S. Sukhatme, D. Fox and W. Burgard, 2005. Autonomous terrain mapping and classification using hidden markov models. Proceedings of the 2005 IEEE International Conference on Robotics and Automation, April 18-22, 2005, IEEE, Barcelona, Spain, pp: 2026-2031.

Ye, C. and J. Borenstein, 2003. A new terrain mapping method for mobile robots obstacle negotiation. Proceedings of the International Conference on Unmanned Ground Vehicle Technology Vol. 5083, April 21-25, 2003, International Society for Optics and Photonics, AeroSense, Orlando, Florida, USA., pp. 52-63.

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved