Design and Field Validation of an Air-Pressure-Adhesion Robot for Inclined Skyscraper Facades

Abstract

The maintenance of modern skyscrapers with inclined and complex glass facades presents significant safety, economic, and technical challenges. Traditional manual cleaning methods expose workers to hazardous conditions, while existing robotic systems are primarily designed for vertical surfaces and perform poorly on sloped geometries. This study presents the design, development, and validation of an autonomous glass-cleaning robot specifically engineered for inclined skyscraper facades. The system introduces a novel adhesion mechanism based on controlled air-pressure differentials generated by high-efficiency fans, eliminating the need for energy-intensive vacuum pumps or magnetic systems. The robot integrates a rope-hoisted pulley locomotion system for gravitational counterbalance and a compliant, decoupled cleaning module that adapts to surface irregularities. A comprehensive methodology involving simulation, prototyping, and field testing was employed, including a case study on a 12-story building facade with inclined panels up to 45°. Results indicate a cleaning efficiency of 95% (measured as percentage of surface area successfully cleaned per pass), a 35% reduction in water consumption compared to manual methods, and reliable autonomous navigation around architectural protrusions. The Cleaning Performance Index (CPI = A/(t×P), where A is cleaned area in m², t is time in seconds, and P is power in watts) measured 0.0263 m²/J, establishing a baseline for energy-time-area performance comparison. Stability analysis using the Coefficient of Variation (CV) confirmed consistent performance (CV < 12%) under varying environmental conditions with wind speeds up to 4.0 m/s. Preliminary cost-benefit analysis based on operational data projects a 60% reduction in monthly operational costs and return on investment within 18 months, demonstrating commercial viability for next generation building maintenance.