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Inverse Kinematics of Robot Manipulator Integrated with Image Processing Algorithms

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Advanced Computing and Intelligent Technologies

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 218))

Abstract

Computer vision has many applications in various fields, such as remote sensing, face detection, and fingerprint detection. In this paper, various algorithms for motion detection, hazmat detection, and QR code detection are presented. These algorithms are implemented in OpenCV which are ROS-integrated. A camera is set up on a robot with a 5 degrees of freedom (DOF) manipulator. This robot is sent to remote locations and can gather information about the environment. This information can be the type of hazmat detected, the coordinates of the hazmat signs, etc. An inverse kinematic model of the arm is presented. A simulation of the arm configurations based on the coordinates obtained from the camera has been done using MATLAB.

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References

  1. Raghunandan, A., Mohana, Raghav, P., Aradhya, H.V.R.: Object detection algorithms for video surveillance applications. In: 2018 International Conference on Communication and Signal Processing (ICCSP), pp. 0563–0568 (2018). https://doi.org/10.1109/ICCSP.2018.8524461

  2. Si, Y., Jia, Q., Chen, G., Sun, H.: A complete solution to the inverse kinematics problem for 4-DOF manipulator robot. In: 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA), pp. 1880–1884 (2013). https://doi.org/10.1109/ICIEA.2013.6566674

  3. Song, D.H., Jung, S.: Geometrical analysis of inverse kinematics solutions and fuzzy control of humanoid robot arm under kinematics constraints. In: 2007 International Conference on Mechatronics and Automation, pp. 1178–1183 (2007). https://doi.org/10.1109/ICMA.2007.4303715

  4. A-Lin, H., Yuan, F., Ying, G.: QR code image detection using run-length coding. In: Proceedings of 2011 International Conference on Computer Science and Network Technology, pp. 2130–2134 (2011). https://doi.org/10.1109/ICCSNT.2011.6182398

  5. Chou, T., Ho, C., Kuo, Y.: QR code detection using convolutional neural networks. In: 2015 International Conference on Advanced Robotics and Intelligent Systems (ARIS), pp. 1–5 (2015). https://doi.org/10.1109/ARIS.2015.7158354

  6. Zhang, X., Luo, H., Peng, J., Fan, J., Chen, L.: Fast QR code detection. In: 2017 International Conference on the Frontiers and Advances in Data Science (FADS), pp. 151–154 (2017). https://doi.org/10.1109/FADS.2017.8253216

  7. Yong, C.Y., Sudirman, R., Chew, K.M.: Motion detection and analysis with four different detectors. In: 2011 Third International Conference on Computational Intelligence, Modelling & Simulation, pp. 46–50 (2011). https://doi.org/10.1109/CIMSim.2011.18

  8. Metkar Shilpa, P., Talbar Sanjay, N.: Dynamic motion detection technique for fast and efficient video coding. TENCON 2008—2008 IEEE Region 10 Conference, pp. 1–5 (2008). https://doi.org/10.1109/TENCON.2008.4766715

  9. Zhang, S., Stentiford, F.: Motion detection using a model of visual attention. In: 2007 IEEE International Conference on Image Processing, pp. III - 513–III - 516. https://doi.org/10.1109/ICIP.2007.4379359

  10. Megalingam, R.K., Tantravahi, S., Tammana, H.S.S.K., Thokala, N., Puram, H.S.R., Samudrala, N.: Robot operating system integrated robot control through secure shell (SSH). In: 2019 3rd International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE). https://doi.org/10.1109/rdcape47089.2019.8979113

  11. Megalingam, R.K., Nagalla, D., Pasumarthi, R.K., Gontu, V., Allada, P.K.: ROS based, simulation and control of a wheeled robot using Gamer’s steering wheel. In: 2018 4th International Conference on Computing Communication and Automation (ICCCA). New Delhi, India. https://doi.org/10.1109/ccaa.2018.8777569

  12. Megalingam, R.K., Katta, N., Geesala, R., Yadav, P.K., Chanda, R.: Keyboard-based control and simulation of 6-DOF robotic arm using ROS. In: 2018 4th International Conference on Computing Communication and Automation (ICCCA), Greater Noida, India. https://doi.org/10.1109/ccaa.2018.8777568

  13. Megalingam, R.K., et al.: Amaran: an unmanned robotic coconut tree climber and harvester. IEEE/ASME Trans. Mechatron. 26(1), 288–299 (2021). https://doi.org/10.1109/TMECH.2020.3014293

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Acknowledgments

The authors are indebted to HuT labs and the Department of Electronics and Communication Engineering at Amrita Vishwa Vidyapeetham, Amritapuri for their continuous guidance and support.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, Kerala, India

    Rajesh Kannan Megalingam, Santosh Tantravahi, Hemanth Sai Surya Kumar Tammana, Nagasai Thokala & Hari Sudarshan Rahul Puram

  2. Department of Electrical Engineering, University of Dayton, Dayton, OH, USA

    Naveen Samudrala & Chennareddy Pavanth Kumar Reddy

Authors
  1. Rajesh Kannan Megalingam
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  2. Santosh Tantravahi
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  3. Hemanth Sai Surya Kumar Tammana
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  4. Nagasai Thokala
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  5. Hari Sudarshan Rahul Puram
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  6. Naveen Samudrala
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  7. Chennareddy Pavanth Kumar Reddy
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Editor information

Editors and Affiliations

  1. Department of Information Engineering and Mathematics, University of Siena, Siena, Italy

    Monica Bianchini

  2. Department of Computer Science, University of Milan, Milan, Italy

    Vincenzo Piuri

  3. Regional Campus Manipur, Indira Gandhi National Tribal University, Imphal, Manipur, India

    Sanjoy Das

  4. School of Electrical and Electronic Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India

    Rabindra Nath Shaw

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Megalingam, R.K. et al. (2022). Inverse Kinematics of Robot Manipulator Integrated with Image Processing Algorithms. In: Bianchini, M., Piuri, V., Das, S., Shaw, R.N. (eds) Advanced Computing and Intelligent Technologies. Lecture Notes in Networks and Systems, vol 218. Springer, Singapore. https://doi.org/10.1007/978-981-16-2164-2_38

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