Indoor path-planning for a tracked mobile robot using Dijkstra's algorithm and Ros

Mohamed Sh. Khadr Sr.; Sameh I. Beaber Sr.; Ehab Said; Wael M. Elmayyah; Wessam M. Hussein

doi:10.1117/12.2596461

30 April 2021 Indoor path-planning for a tracked mobile robot using Dijkstra's algorithm and Ros

Mohamed Sh. Khadr Sr., Sameh I. Beaber Sr., Ehab Said, Wael M. Elmayyah, Wessam M. Hussein

Proceedings Volume 11758, Unmanned Systems Technology XXIII; 117580R (2021) https://doi.org/10.1117/12.2596461
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Abstract

A lot of research has recently been performed on mobile robots because of their value in human life. In various applications and areas, robotics are used. Maintaining the robot's protection and accessibility is important. If the robot doesn't always enable self-recovery, it will not be able to attain its target. This paper studies a tracked mobile robot control and path planning using the dijkstra's algorithm. Robot Operating System (ROS) is the software prototyping platform. The robot's basic mission and its control mechanism is explained. The analysis is carried out using three ultrasonic sensors requiring a low-effort framework enabling exploration in the robot route zone. In a simulated environment, the presented method was verified and the results showed successful path planning with obstacles avoidance.

Conference Presentation

Citation Download Citation

Mohamed Sh. Khadr Sr., Sameh I. Beaber Sr., Ehab Said, Wael M. Elmayyah, and Wessam M. Hussein "Indoor path-planning for a tracked mobile robot using Dijkstra's algorithm and Ros", Proc. SPIE 11758, Unmanned Systems Technology XXIII, 117580R (30 April 2021); https://doi.org/10.1117/12.2596461

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available