Multi-Terrain Canal Cleaning Robot

Current Status:

Phase 1: Proof of Concept and Hydrodynamic Modeling.

G-Spider Challenge and Vision

The Challenge & Vision

Canal and waterway sanitation demands a robot capable of navigating highly variable debris, depths, and steeply inclined banks. G Spider utilizes a sophisticated, multi-legged design to achieve stability and efficient waste removal in environments inaccessible to conventional human intervention or standard vehicles, making cleaning faster and safer.

Key R&D Breakthroughs:

  • 1.
    Amphibious Locomotion: Developing a system for seamless transition and stable operation between fully submerged, floating, and land-based operation.
  • 2.
    Debris Classification AI: Using computer vision and machine learning to accurately identify and sort different types of waste materials for targeted collection.
  • 3.
    Low-Impact Maneuverability: Engineering the system to operate effectively without damaging existing canal infrastructure or disturbing surrounding ecosystems.
Technical Specifications

Technical Specifications

Mobility

Multi-Legged

(Spider-like) / Floatation

Collection Capacity

TBD (High Volume)

Sensors

Sonar, Multi-Spectral Camera

Technical Specifications

Development Roadmap

G Spider is designed for environments with mixed terrain and highly variable conditions, requiring an iterative approach to mobility and sensing.

Phase 1

Hydrodynamic Modeling & Chassis Design (Current)

Optimizing leg geometry for amphibious movement and validating stability in variable water flow and sludge density.

Phase 2

Debris Collection & Vision Integration (Future)

Developing and refining efficient mechanical collection mechanisms and training the AI for waste classification in murky water conditions.

Phase 3

Multi-Modal Transition Testing (Future)

Ensuring reliable, autonomous transition between fully submerged, floating, and canal-bank traversal modes without human intervention.

Phase 4

Long-Range Autonomy (Future)

Implementing comprehensive, energy-efficient navigation and communications for fully autonomous missions across extended canal lengths.

Phase 1

Hydrodynamic Modeling & Chassis Design (Current)

Optimizing leg geometry for amphibious movement and validating stability in variable water flow and sludge density.

Phase 2

Debris Collection & Vision Integration (Future)

Developing and refining efficient mechanical collection mechanisms and training the AI for waste classification in murky water conditions.

Phase 3

Multi-Modal Transition Testing (Future)

Ensuring reliable, autonomous transition between fully submerged, floating, and canal-bank traversal modes without human intervention.

Phase 4

Long-Range Autonomy (Future)

Implementing comprehensive, energy-efficient navigation and communications for fully autonomous missions across extended canal lengths.