Autonomous Facade Cleaning Solution

Current Status:

Phase 2: Scaled Prototype development and material durability testing.

G-Beetle Challenge and Vision

The Challenge & Vision

The G Beetle project addresses the costly and hazardous nature of traditional façade maintenance. Our research focuses on developing a robot that ensures a safe, consistent, and highly efficient solution for cleaning high-rise exteriors and complex architectural surfaces.

Key R&D Breakthroughs:

  • 1.
    Pneumatic/Vacuum Adhesion System: Engineering reliable grip on varied materials like glass, concrete, and metal.
  • 2.
    Vision-Based Surface Mapping: Developing AI to identify dirt levels and optimize cleaning paths to minimize resource use.
  • 3.
    Modular Cleaning Head: Creating interchangeable tools for specialized cleaning applications.
Technical Specifications

Technical Specifications

Mobility

Vacuum Adhesion/ Tracked Wheels

Cleaning Width

1.5m

(Estimated)

Sensors

High-Res Camera, Proximity, Pressure

Technical Specifications

Development Roadmap

Our development plan for G Beetle prioritizes safety, reliability, and the ability to operate across diverse architectural surfaces.

Phase 1

Proof of Concept & Adhesion Modeling (Completed)

Validating the core pneumatic grip technology and optimizing materials selection for surface compatibility.

Phase 2

Mobility & Navigation Integration (Completed)

Developing the tracked movement system and implementing initial sensor-based path planning algorithms.

Phase 3

Field Trials (Current)

Rigorous testing in controlled and simulated urban environments, focusing on cleaning efficiency and operational stability across varied facade types.

Phase 4

Autonomy & Advanced Cleaning (Future)

Implementing AI for deep dirt analysis, automated tool switching, and weather adaptation for safe operation.

Phase 1

Proof of Concept & Adhesion Modeling (Completed)

Validating the core pneumatic grip technology and optimizing materials selection for surface compatibility.

Phase 2

Mobility & Navigation Integration (Completed)

Developing the tracked movement system and implementing initial sensor-based path planning algorithms.

Phase 3

Field Trials (Current)

Rigorous testing in controlled and simulated urban environments, focusing on cleaning efficiency and operational stability across varied facade types.

Phase 4

Autonomy & Advanced Cleaning (Future)

Implementing AI for deep dirt analysis, automated tool switching, and weather adaptation for safe operation.