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GitHub - albindavidc/Automatic-Suction-Powered-Wall-Climbing-Robot: Main Project

Project Report on Automatic Suction Powered Wall Climbing Robot

Submitted by:

Submitted to:
APJ Abdul Kalam Technological University

Under the Guidance of:
Ms. Shamin Elizabeth Varkey

  1. Introduction
  2. Literature Survey
  3. Methodology
  4. Components and System Design
  5. Results and Testing
  6. Conclusion

The concept of wall-climbing robots is introduced in this section, emphasizing their relevance for tasks in hard-to-reach or hazardous environments where human involvement is difficult or unsafe. Wall-climbing robots have wide applications, including inspection, maintenance, cleaning, and surveillance on high-rise structures and industrial surfaces. Our project aims to develop an automatic, suction-powered wall-climbing robot that can efficiently perform these tasks.

This section presents a review of previous research and technological approaches in wall-climbing robotics, which laid the groundwork for our project:

The methodology section outlines our approach to building the robot, detailing each component’s role and the overall system design:

The robot’s control strategies involve handling motor functions, suction levels, and responsiveness to Bluetooth commands for stable adhesion and movement.

Figure 3.1: The block diagram illustrates the integration of components, depicting the flow of communication between the controller, motors, and suction system.

4. Components and System Design

This section provides a comprehensive list of the primary components and their functionalities in the wall-climbing robot:

Each component is carefully selected to balance power efficiency, control accuracy, and payload capacity for effective wall climbing.

The robot was subjected to a series of tests to evaluate:

These tests confirmed that the robot performs as expected, with reliable adhesion and efficient movement on vertical surfaces.

The wall-climbing robot successfully demonstrated the ability to adhere to and maneuver along vertical surfaces. Key outcomes include stable adhesion, responsive control, and effective maneuverability. Future improvements could focus on:


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