Conference Paper2017Cited by 10

2D mapping and vertex finding method for path planning in autonomous obstacle avoidance robotic system

Abul Al Arabi, Pranabesh Sarkar, Faysal Ahmed, Waliur Rahman Rafie, Mahfuz Hannan, M Ashraful Amin

2017 2nd International Conference on Control and Robotics Engineering (ICCRE)

IEEE, pp. 39–42

Abstract

This work proposes a method for continuous navigation and path planning to avoid obstacles for both indoor and outdoor application. The navigating robot creates 2D map of the traversed area. To avoid collision with obstacles, the robot uses range measurement sensors. The Robot autonomously moves around the unexplored environment safely, detects obstacles through radar vision, collects data, transmits data through wireless module to host computer where the host computer detects suitable path for traversal and navigates the robot from a remote location. Simultaneously, the host computer constructs a 2D map and planes navigation from the field robots collected data.

Keywords

  • two-dimensional mapping
  • Obstacle avoidance
  • indoor and outdoor navigation
  • autonomous robots
  • path planning
  • remote navigation
  • wireless data transmission
  • distance sensor

CCDS Authors

Prof. M Ashraful Amin, PhD
M Ashraful Amin, PhD

Prof. M Ashraful Amin, PhD

  • Founder Director, CCDS
  • Director, AI/ML, HCI & DS Wings

Professor

+1 more affiliation

Department of Information Sciences and Technology

George Mason University, USA

Published at

ACL, CHI, UbiComp, ECAI, WACV, PAKDD, IJCNN, ICPR, ICIP, HCII, CLEF, BLP, Scientific Reports, JMIR, IEEE Access, Smart Agricultural Technology, Frontiers in Computational Neuroscience, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics

References

  1. 1.P.A. Gorry. (1990). General least-squares smoothing and differentiation by the convolution (Savitzky-Golay) method. Analytical Chemistry, 62(6), 570–573[10.1021/ac00205a007]
  2. 2.J. Borenstein, Yoram Koren. (1988). Obstacle avoidance with ultrasonic sensors. IEEE Journal on Robotics and Automation, 4(2), 213–218[10.1109/56.2085]
  3. 3.Akihisa Ohya, Akio Kosaka, A.C. Kak. (1998). Vision-based navigation by a mobile robot with obstacle avoidance using single-camera vision and ultrasonic sensing. IEEE Transactions on Robotics and Automation, 14(6), 969–978[10.1109/70.736780]
  4. 4.Kohtaro Sabe, M. Fukuchi, J.-S. Gutmann, Takeshi Ohashi, Kenta Kawamoto, Takayuki Yoshigahara. (2004). Obstacle avoidance and path planning for humanoid robots using stereo vision. , 592–597 Vol.1[10.1109/robot.2004.1307213]
  5. 5.J. Vandorpe, H. Van Brussel, Hòng Xu. (2002). Exact dynamic map building for a mobile robot using geometrical primitives produced by a 2D range finder. , 1, 901–908[10.1109/robot.1996.503887]
  6. 6.Bukhari Ilias, Shazmin Aniza Abdul Shukor, Abdul Hamid Adom, Mohd Firdaus Ibrahim, Sazali Yaacob. (2016). A novel indoor mobile robot mapping with USB-16 ultrasonic sensor bank and NWA optimization algorithm. , 4, 189–194[10.1109/iscaie.2016.7575061]
  7. 7.Aninda Saha, Mahady Hasan, MD ASHRAFUL, S. Sampath Kumar. (2015). Android Based Autonomous Arduino Bot. , 34–38[10.15224/978-1-63248-056-9-26]
  8. 8.Ishraq Ul Haque, Abul Al Arabi, Shadat Hossain, Tanjina Piash Proma, Nafi Uzzaman, M. Ashraful Amin. (2017). Vision based trajectory following robot and swarm. , 4, 35–38[10.1109/iccre.2017.7935037]
  9. 9.Wael R. Abdul-Majeed, Revan Zuhair Mansoor. (2014). Implementing Autonomous Navigation Robot for building 2D Map of Indoor Environment. International Journal of Computer Applications, 92(1), 7–13[10.5120/15971-4855]

Cited By

  1. 1.Mark Tee Kit Tsun, Bee Theng Lau, Hudyjaya Siswoyo Jo. (2018). An Improved Indoor Robot Human-Following Navigation Model Using Depth Camera, Active IR Marker and Proximity Sensors Fusion. Robotics, 7(1), 4[10.3390/robotics7010004]
  2. 2.Abul Al Arabi, Hasib Ul Sakib, Pranabesh Sarkar, Tanjina Piash Proma, Jahedul Anowar, M. Ashraful Amin. (2017). Autonomous Rover Navigation Using GPS Based Path Planning. , 89–94[10.1109/ams.2017.22]
  3. 3.Ishraq Ul Haque, Abul Al Arabi, Shadat Hossain, Tanjina Proma, Nafi Uzzaman, M Ashraful Amin. (2017). Vision based trajectory following robot and swarm. , 4, 35–38[10.1109/iccre.2017.7935037]
  4. 4.Shih-Pang Tseng, Che-Wen Chen, Ta-Wen Kuan, Yao-Tsung Hsu, Jhing-Fa Wang. (2020). Fuzzy Obstacle Avoidance for the Mobile System of Service Robots. Wireless Communications and Mobile Computing, 2020, 1–11[10.1155/2020/8887547]
  5. 5.Stefano Leonori, Stefano Mattei, Luigi Anniballi, Fabio Massimo Frattale Mascioli. (2024). Cable-driven agribot prototype: Enabling precision agriculture through innovative design. Smart Agricultural Technology, 7, 100426[10.1016/j.atech.2024.100426]
  6. 6.M. Raihanul Bashar, Abul Al Arabi, Rayhan Sardar Tipu, M. Tanvir Alam Sifat, M. Zobair Ibn Alam, M Ashraful Amin. (2017). 2D surface mapping for mine detection using wireless network. , 180–183[10.1109/iccre.2017.7935066]
  7. 7.Boris Crnokić, Ivan Peko, Janez Gotlih. (2024). The Development of Assistive Robotics: A Comprehensive Analysis Integrating Machine Learning, Robotic Vision, and Collaborative Human Assistive Robots. Communications in computer and information science, 164–214[10.1007/978-3-031-62058-4_12]
  8. 8.Iván González-Hernández, Jonathan Flores, Sergio Salazar, Rogelio Lozano. (2025). Robust and Precise Navigation and Obstacle Avoidance for Unmanned Ground Vehicle. Sensors, 25(14), 4334[10.3390/s25144334]
  9. 9.Rashid Ali, Yongping He, Wenpeng Fu, Zhiqiang Cao. (2022). An Indoor Mobile Robot Localization in perspective of Analysis and Performance using Unscented Kalman Filter. Trends in Sciences, 19(7), 3097[10.48048/tis.2022.3097]
  10. 10.Mir Oliul Pasha Taj, Md. Rajibul Hassen. (2024). Design Implication of a Compact-Sized, Low-Fidelity Rover for Tough Terrain Exploration. Lecture notes in networks and systems, 123–138[10.1007/978-981-99-8937-9_9]