Robin Autopilot's mission is to help lawn care professionals and service providers transition from traditional to robotic mowing. It's a custom-built fleet management system, was developed to address the specific needs of landscape service providers, offering a comprehensive solution for real-time monitoring, scheduling, and efficient crew management.

Real-time monitoring, tracking the location, activity, and performance of each mower in real-time.

Tools for scheduling maintenance and service appointments.

Instant alerts for critical events, such as malfunctions or low battery.

Optimized routing for crew members to perform repairs and maintenance.

Compatibility with existing service software and CRM systems for unified data management.

I developed Robin Aviator, a web-based platform that provided a centralized view of the entire robotic mower fleet. The solution delivered,

A dashboard displaying the current status, location, and performance metrics of each mower.

System generated notifications for critical events, ensuring timely responses.

Tools for scheduling maintenance tasks and optimizing crew routes for efficient repairs.

A flexible architecture that allowed for seamless integration with various robotic mower brands, existing service software, and CRM systems.

The backend of Robin Aviator was designed for scalability and reliability, leveraging a combination of powerful technologies.

This project involved a dual responsibility, maintaining the client's existing Ruby on Rails legacy system and developing a new platform with enhanced features. I managed the entire development lifecycle, starting with detailed requirement analysis and database schema design. I then implemented a user-friendly web interface using ReactJS, and built robust RESTful APIs for backend communication. The backend server was developed using Python with Flask, and PostgreSQL was used for efficient database management.

Speed & Versatility

Quality Assurance

Accelerated Development