Recently, the Thiruvananthapuram Municipal Corporation has deployed the AI-powered G-SPIDER robot under the Swachh Bharat Mission–Urban 2.0. This initiative aims to improve urban sanitation and canal cleaning by reducing human involvement in hazardous environments.
About G-SPIDER Robot
The G-SPIDER robot is an automated canal-cleaning robot developed by Genrobotic Innovations. It is specifically designed to operate in complex and high-risk canal systems without requiring human entry, thereby addressing the dangers associated with manual cleaning.
Key Features of G-SPIDER Robot
Efficient Operation
The robot is capable of functioning effectively even during high water levels and continuous water flow conditions. This ensures that canal cleaning activities are not disrupted by environmental challenges.
Advanced Technology
The G-SPIDER robot is built on Cable-Driven Parallel Robotics (CDPR) architecture and is equipped with AI-enabled vision systems and sensor intelligence.
It has a five-degrees-of-freedom robotic mechanism along with a biomimetic claw-type grabber, which allows:
Precise positioning
Secure handling of mixed and irregular waste materials
Using advanced machine vision, the robot can:
Identify different types of waste
Adapt to varying flow conditions
Respond to structural challenges in real time
Automated Waste Handling
The robot ensures a completely hands-free cleaning process. The waste collected is directly transferred into designated collection vehicles, enabling an end-to-end system from detection to safe disposal without manual intervention.
Uninterrupted Maintenance
The G-SPIDER robot allows for continuous and consistent maintenance of urban waterways, reducing the need for periodic manual cleaning and ensuring cleaner canals over time.
Safe Waste Extraction
It is capable of safely removing hazardous and mixed waste, including:
Plastics
Sharp objects
Other harmful debris
This significantly reduces health risks for sanitation workers.
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In every Lecture. Director Sir will provide conceptual understanding with around 800 Mindmaps.
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