A navigation and identificationsimulated chemicals using autonomous mobile robot with ceiling camera and onboard micro-spectrometer
Main Article Content
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Anderson, G., Sheesley, C., Tolson, J., Widson, E., Tunstel, E., 2006. A mobile robot system for remote measurements of ammonia vapor in the atmosphere. In Proceedings of IEEE conference on Systems, Man and Cybernetics, 2006 (SMC ’06) in Taipei, Taiwan, 08-11 October 2006.1: 241-246.
Eiceman, G.A., Wang, M., Prasad, S., Schmidt, H., Tadjimukhamedov, F.K., Lavine, B.K., Mirjankarb, N., 2006. Pattern recognition analysis of differential mobility spectra with classification by chemical family. Analytica Chimica Acta. 579: 1-10.
Hieu, T.L., Hung, T.T., 2015. 3D Vision for Mobile Robot Manipulator on Detecting and Tracking Target. In Proceedings of 15th IEEE international conference on control, automation and systems (ICCAS), 2015 in Busan, Korea, 13-16 October 2015, 1560-1565.
Kuzniz, T., Halot, D., Mignani, A.G., Ciaccheri, L., Kalli, K., Tur, M., Othonos, A., Christofides, C., Jackson, D.A., 2007. Instrumentation for the monitoring of toxic pollutants in water resources by means of neural network analysis of absorption and fluorescence spectra. Sensors and Actuators B: Chemical. 121: 231-237.
Lyons, W.B., Fitzpatrick, C., Flanagan, C., Lewis, E., 2004. A novel multipoint luminescent coated ultra violet fiber sensor utilizing artificial neural network pattern recognition techniques. Sensors and Actuators A: Physical. 115: 267-272.
Papadias, D., Theodoridis, Y., 1997. Spatial relations, minimum bounding rectangles, and spatial data structures. International Journal of Geographical Information Science. 2:111-138.
Pulido, C., Esteban, O., 2010. Improved fluorescence signal with tapered polymer optical fibers under side-illumination. Sensor and Actuators B: Chemical.146: 190-194.
Ross, S.M., 2009. Introduction to probability and statics for engineers and scientists, Fourth Edition. Elsevier, 640 pages.
Suah, F.B.M., Ahmad, M., Taib, M.N., 2003. Applications of artificial neural network on signal processing of optical fiber pH sensor based on bromophenol blue doped with sol-gel film. Sensors and Actuators B: Chemical. 90: 182-188.