Stereo Vision Based Navigation of Four-Legged Robot Through Unknown Terrain

Authors

  • Hamza Masud Intelligent Systems Laboratory, Department of Electrical Engineering, University of Gujrat, Gujrat, Pakistan.
  • Arslan Khalid Intelligent Systems Laboratory, Department of Electrical Engineering, University of Gujrat, Gujrat, Pakistan.
  • Tayybah Kiren Departnment of Computer Science (RECT), University of Engineering and Technology Lahore Pakistan.
  • Dr. Syed Wasif Muhammad Intelligent Systems Laboratory, Department of Electrical Engineering, University of Gujrat, Gujrat, Pakistan.
  • Zubair Mehmood Intelligent Systems Laboratory, Department of Electrical Engineering, University of Gujrat, Gujrat, Pakistan.
  • Muhammad Jehanzeb Irshad Intelligent Systems Laboratory, Department of Electrical Engineering, University of Gujrat, Gujrat, Pakistan.
  • Muhammad Waqas Jabbar Intelligent Systems Laboratory, Department of Electrical Engineering, University of Gujrat, Gujrat, Pakistan.
  • Nazam Siddique Intelligent Systems Laboratory, Department of Electrical Engineering, University of Gujrat, Gujrat, Pakistan.

Keywords:

Quadruped Robot, Disparity Map, Stereo Vision, Depth Map, 3D Point Cloud, Inverse Kinematics, Bezier Curve

Abstract

This research aims to develop a stereo vision-based navigation system for a quadruped robot, enabling it to move autonomously through rough, unfamiliar terrain and detect blockages in sewer pipelines. The robot uses a stereo camera to capture images, which are then processed to create disparity maps and 3D point clouds. These tools help the robot identify and avoid obstacles. Image rectification and 3D mapping are performed using OpenCV, which generates an occupancy grid to distinguish between free and occupied spaces. Based on this grid, the A* algorithm is used to plan the robot's path. To ensure smooth movement, inverse kinematics calculates the required motor angles and applies predefined Bezier curves for stable locomotion.

References

J. Gomez-Ortega and E. F. Camacho, “Neural network MBPC for mobile robot path tracking,” *Robotics and Computer-Integrated Manufactur¬ing*, vol. 11, no. 4, pp. 271-278, 1994.

J. Yuan, H. Wang, C. Lin, D. Liu, and D. Yu, “A Novel GRU- RNN Network Model for Dynamic Path Planning of Mobile Robot,” *IEEE Access*, vol. 7, pp. 15140-15151, 2019, doi: 10.1109/AC- CESS.2019.2894626.

C. Leder, T. Rastogi, and K. Kiimmerer, “Putting benign by design into practice—novel concepts for green and sustainable pharmacy: Designing green drug derivatives by non-targeted synthesis and screening for biodegradability,” *Sustainable Chemistry and Pharmacy*, vol. 2, pp. 31-36, 2015.

V. Barasuol, J. Buchli, C. Semini, M. Frigerio, E. R. De Pieri, and D. G. Caldwell, “A reactive controller framework for quadrupedal locomotion on challenging terrain,” in *Proc. 2013 IEEE Int. Conf. Robotics and Automation*, Karlsruhe, Germany, 2013, pp. 2554-2561.

P. Ciorau, C. Chartier, and K. Mair, “A Contribution of Phased Array Ultrasonic Technology (PAUT) to Detection and Sizing Stress Corrosion Cracks,” *The e-Journal of Nondestructive Testing*, 2008. [Online]. Available: http://www.ndt.net

Y. Liu, et al., “Optimization of the vibro-impact capsule system,” *Strojniski vestnik: Journal of Mechanical Engineering*, vol. 62, no. 7-8, pp. 487-500, 2016.

J. J. M. Doshi, *An Investigation of Leaky Sewers as a Source of Fecal Contamination in the Stormwater Drainage System in Singapore*. Ph.D. dissertation, Massachusetts Institute of Technology, Cambridge, MA, USA, 2012.

J. Zhong, Z. W. Ling, C. J. Miao, W. C. Guo, and P. Tang, “A new robot-based system for in-pipe ultrasonic inspection of pressure pipelines,” in *Far East NDT New Technology & Application Forum (FENDT)*, IEEE, 2017, pp. 246-250.

E. N. Prasad, M. Kannan, A. Azarudeen, and N. Karuppasamy, “Defect identification in pipelines using pipe inspection robot,” *Int. J. Mech. Eng. Robot. Res.*, vol. 1, no. 2, pp. 20-31, 2012.

Sahib and P. R. Babu, “Analysis and control of mobile robot for pipeline inspection,” *Int. J. Mech. Eng. Technol.*, vol. 4, no. 5, pp. 1-9, 2013.

P. Kaur, R. Kaur, and G. Singh, “Pipeline inspection and borewell rescue robot,” *Int. J. Res. Eng. Technol.*, vol. 3, no. 4, pp. 726-729, 2014.

Nayak and S. K. Pradhan, “Design of a new in-pipe inspection robot,” *Procedia Eng.*, vol. 97, pp. 2080-2091, 2014.

Godwin, et al., “Pipeline inspection for corrosion using a mobile robotic system,” *Int. J. Robotic Eng.*, vol. 1, no. 1, 2015.

A. Gargade and S. S. Ohol, “Development of in-pipe inspection robot,” *IOSR J. Mech. Civil Eng.*, vol. 13, no. 4, pp. 64-72, 2016.

Yusupov and Y. Liu, “Development of a self-propelled capsule robot for pipeline inspection,” in *22nd Int. Conf. Automation and Computing (ICAC)*, 2016, pp. 84-88.

Kakogawa and S. Ma, “Design of a multilink-articulated wheeled pipeline inspection robot using only passive elastic joints,” *Adv. Robot.*, vol. 32, no. 1, pp. 37-50, 2018.

Y. Yan, et al., “Proof-of-concept prototype development of the self- propelled capsule system for pipeline inspection,” *Meccanica*, vol. 53, no. 8, pp. 1997-2012, 2018.

R. Cichosz, J. White, T. Price, and C. Barker, “Pipeline inspection robot,” U.S. Patent Application 15/777632, National Grid Gas PLC, 2018.

M. Abdellatif, et al., “Mechatronics design of an autonomous pipe- inspection robot,” in *MATEC Web of Conferences*, vol. 153, p. 02002, 2018.

A. Hayat, K. Elangovan, M. R. Elara, and M. S. Teja, “Tarantula: design, modeling, and kinematic identification of a quadruped wheeled robot,” *Appl. Sci.*, vol. 9, no. 1, p. 94, 2019.

U. Hafila, Y. Namdeo, and M. Mani, “Design of a portable, automated sewer-line inspection and de-clogging sewer-bot for Indian conditions,” in *Research into Design for a Connected World*, Springer, 2019, pp. 703-713.

M. Jalalian, H. A. Zanbarakji, A. Khawand, A. Rahal, and M. Owayjan, “Design and development of a pipeline inspection robot,” in *Mecha- nism, Machine, Robotics and Mechatronics Sciences*, Springer, 2019, pp. 43-52.

Escobar-Naranjo, J.; Caiza, G.; Ayala, P.; Jordan, E.; Garcia, C.A.; Garcia, M.V. Autonomous Navigation of Robots: Optimization with DQN. Appl. Sci. 2023, 13, 7202. https://doi.org/10.3390/app13127202

Yasin, J.N., Mohamed, S.A.S., Haghbayan, MH. et al. Low-cost ultrasonic based object detection and collision avoidance method for autonomous robots. Int. j. inf. tecnol. 13, 97–107 (2021). https://doi.org/10.1007/s41870-020-00513-w

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Published

2025-03-04

How to Cite

Hamza Masud, Arslan Khalid, Tayybah Kiren, Muhammad, D. S. W., Zubair Mehmood, Muhammad Jehanzeb Irshad, Muhammad Waqas Jabbar, & Nazam Siddique. (2025). Stereo Vision Based Navigation of Four-Legged Robot Through Unknown Terrain. International Journal of Innovations in Science & Technology, 7(5), 46–56. Retrieved from https://journal.50sea.com/index.php/IJIST/article/view/1241

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