Research Article

Autonomous Robot for Industrial Application Using LabVIEW

by  Kapil Mishra, R.K. Sharma, Jagrati Rajput, Pooja Kumari
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Issue 7
Published: May 2025
Authors: Kapil Mishra, R.K. Sharma, Jagrati Rajput, Pooja Kumari
10.5120/ijca2025925010
PDF

Kapil Mishra, R.K. Sharma, Jagrati Rajput, Pooja Kumari . Autonomous Robot for Industrial Application Using LabVIEW. International Journal of Computer Applications. 187, 7 (May 2025), 54-59. DOI=10.5120/ijca2025925010

                        @article{ 10.5120/ijca2025925010,
                        author  = { Kapil Mishra,R.K. Sharma,Jagrati Rajput,Pooja Kumari },
                        title   = { Autonomous Robot for Industrial Application Using LabVIEW },
                        journal = { International Journal of Computer Applications },
                        year    = { 2025 },
                        volume  = { 187 },
                        number  = { 7 },
                        pages   = { 54-59 },
                        doi     = { 10.5120/ijca2025925010 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2025
                        %A Kapil Mishra
                        %A R.K. Sharma
                        %A Jagrati Rajput
                        %A Pooja Kumari
                        %T Autonomous Robot for Industrial Application Using LabVIEW%T 
                        %J International Journal of Computer Applications
                        %V 187
                        %N 7
                        %P 54-59
                        %R 10.5120/ijca2025925010
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper is based on autonomous robot which is used for transportation purpose, intelligent controlled system consisting of various modules interconnected through inflexible links in series by revolute joints. The development of intelligent vehicle on master-slave robot manipulators was rapidly followed by more complicated systems capable of independent, repetitive operations. This work presents design and development of an Automatic vehicle for industrial environment using LabVIEW and its real-time hardware implementation. The vehicle moves forward, backward, left and right through the signals supplied by the control station. The additional feature of this vehicle is capable to identifying the obstacle in its path when it moving.

References
  • Ahn. J.H. , Kwak. S , and Choi. C, “An integrated machine vision system for multiple human Tracking and silhouette extraction”, IJCA pp.573-583, 2006.
  • Adam.A, Rivlin.E , and Shimshoni.I , “ Computing the sensory uncertainty field of a Vision-based localization sensor ,” proc . Of the IEEE International Conference on Robotics & Automation, pp. 2993-2999, April 2000.
  • Awad. F and Shamroukh.R , “Human Detection by Intelligent Machine Urban Search and Rescue Using Image Processing and Neural Networks” International Journal of Intelligent Science , pp.4 39-53, 2014.
  • Burridge.R and Graham, “Providing machine assistance during extra-vehicular activity”, SPIE, 2001.
  • Dibie.M and Gurvits.L , “ Machine Intelligent localization using landmarks ,” IEEE Trans . On Machine and Automation, vol.13, no. 2 pp. 251-263, April 1997.
  • Eellotto.N and Hu.H, “Vision and laser data fusion for tracking object with a mobile machine”. In proc. IEEE Int. conf. on Machine and Biomimetics (ROBIO), pp. 7-12 China 2006.
  • Feymer.D and Konolige.K , Tracking object from a mobile platform. In IJCAI-2001 Workshop on Reasoning with Uncertainty in Machine, Seattle, USA, 2001.
  • Feymer.D and Konolig.K , “Tracking obstacle from a moving platform. Int. Proceeding of 202 int. Symp. On Experimental Machines. pp. 234-244, 2002.
  • Gold.J and Koren.K, “Obstacle robotoidance with Ultrasonic Sensors”. IEEE Journal of Robotics and Automation, vol. RA-4, No.2, pp. 213-218, 1988.
  • Hook.A and Koren. K , “Real- time obstacle robotoidance for fast moving machine”, IEEE Transactions on system , Man and Cybernetics B , vol.19 no.5 pp. 1179-1187 , 1989.
  • Hook.A, and Koren. K, “The vector field histogram-fast obstacle robotoidance for mobile robots, IEEE Trans. on Robotics and Automation, pp.501-518, 1991.
  • Harrol. J and Latombe .J.C, “Machine motion planning: a distributed representation Approach”, International Journal of Robotics Research, vol.10 no.6, pp. 628-649 , 2006.
  • Jim. N and Mak. K, “Multisensor based human tracking for an indoor service robot”, Submitted to IJRR , 2007.
  • Jai Bhatia, Ajay Mudgal, and Amita Soni, “Alive Human Detection Using an Autonomous Mobile Rescue Robot”, Department of Electrical & Electronics, PEC University of Technology, Chandigarh, India vol.no.2, July 2010.
  • Klien. J and Veloso .N, “Depth Camera Based Indoor Mobile Machine Localization and N robotigation”, in Proc. of ICRA, pp. 1697-1702, 2012.
  • Kock.D, Ramesh. V and Meer. P, “Kernel-based object tracking”on Pattern Analysis and Machine Intelligent, vol.25 no.5, pp.564-577, May 2003.
  • Lyon .G, Treptow. A & Duckett. T, “Quantitative Performance Evaluation of a People Tracking System on a Mobile Robot, Proc. Of ECMR05 (2nd European Conference on Mobile Robots), Ancona, Italy , Sept 2015.
  • Lamb.H and Wankhade.M, “Human tracking in video surveillance” International Journal of Emerging Technology and Advanced Engineering, ISSN 2250-2459, December 2017.
  • Mongin.A.K , Chatterji.B.N , Ray A.K . “Design of a real-time tracking system for fast-moving objects IETE J. Res 43, pp.359-369, 1997.
  • Nick.D and Forsyth.A, “Finding and tracking people from the bottomup”, in Proceeding of Computer Vision and Pattern Recognition (CVPR), Madison Wisconnin, June 2003
  • Romdhani.S et al.: Computationally Efficient Face Detection, Proceedings of the 8th International Conference on Computer Vision, 2, p.2001.
  • Ryan.J, Zennaro.M, and Howell.A, “An overview of emerging results in cooperative M ROBOT control”, Proc. Of 43rd IEEE Conference on Decision and Control, vol. 1, pp.602-607, 2007.
  • Spinello.L and Arras.A, “People Detection in RGB-D Data”, in Proc. of IROS, pp.3838-3843, 2019.
  • Schulz.W, Burgard.B , and Fox, “People tracking with moving intelligent machine using Sample-based joint probilistic data association filters, International Journal of Intelligent Machine Research pp.99-116, 2013.
  • Schoenwald.S.C, “M ROBOTs: In space, air, water, and on the ground”, IEEE control systems magazine, vol.20, pp.15-18, 2018.
  • Satake.J and Miura.J, “Person Following of a Moving Machine using Stereo Vision”, Journal of the Machine Society of Japan, vol.28, no.9, pp.1091-1099, 2010.
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Robot Sensor Motor Drive LabVIEW Programming

Powered by PhDFocusTM