Project Overview

This project involved designing and developing a mobile autonomous robot, the Robo-Tapper, for AI-based façade inspections. This system was field-tested and successfully deployed commercially, generating over 1.5 million HKD in its first year. The project focused on structural optimization, stability, and seamless integration of advanced sensors for enhanced navigation and crack detection.

Key Features:

• Autonomous Navigation: Integrated Laser sensors, IMU, and LiDAR for precise navigation.
• AI-based Inspection: Enabled crack detection through Computer Vision algorithms.
• Structural Optimization: Reduced weight and enhanced system stability for real-world applications.
• Custom API Development: Developed APIs for navigation, UI control, and signal processing.
• Revenue: Successfully deployed in over five commercial projects, generating significant revenue.

Contributions

• Mechanical Design: Designed and fabricated the electric and control box layouts.
• Sensor Integration: Combined advanced sensors for improved navigation and performance.
• Optimization: Enhanced structural stability and reduced robot weight for efficiency.
• Field Testing: Conducted rigorous testing and validated performance in real-world conditions.

Conclusion

The Robo-Tapper has set a benchmark for autonomous inspection robots, combining robust design, advanced sensor integration, and commercial viability, paving the way for innovative applications in construction and building management.