Author
Listed:
- Vijaya Kumar S
(Mechanical Department, M.S. Ramaiah University Of Applied Sciences, Bengaluru, India)
- Sharath Kumar K
(Mechanical Department, M.S. Ramaiah University Of Applied Sciences, Bengaluru, India)
- Chirag M
(Mechanical Department, M.S. Ramaiah University Of Applied Sciences, Bengaluru, India)
- Chandan Gowda VM
(Mechanical Department, M.S. Ramaiah University Of Applied Sciences, Bengaluru, India)
- Kiran T
(Mechanical Department, M.S. Ramaiah University Of Applied Sciences, Bengaluru, India)
Abstract
This project presents a robot designed to automate painting tasks in construction and maintenance industries. The robot utilizes BLDC fans for wall-climbing suction, enabling movement across vertical surfaces without scaffolding or ladders. Built with a lightweight 3D Printed Plastic chassis, the system integrates Arduino UNO microcontroller, IR sensors for obstacle detection, and Bluetooth connectivity for mobile app control. The paint delivery system features a spray mechanism with external tank for uniform coverage. This solution addresses safety hazards, labour costs, and time inefficiencies associated with traditional painting methods. The robot demonstrates practical robotics applications, offering enhanced safety, reduced operational costs, and improved efficiency in wall painting operations.
Suggested Citation
Vijaya Kumar S & Sharath Kumar K & Chirag M & Chandan Gowda VM & Kiran T, 2025.
"An Arduino-Based Robot for Wall Painting Tasks,"
International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 12(7), pages 1607-1619, July.
Handle:
RePEc:bjc:journl:v:12:y:2025:i:67:p:1607-1619
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bjc:journl:v:12:y:2025:i:67:p:1607-1619. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Renu Malsaria (email available below). General contact details of provider: https://rsisinternational.org/journals/ijrsi/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.