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Development of a Scalable Mobile Control Platform for Autonomous Robotics in Sports Field Maintenance
  1. case
  2. Development of a Scalable Mobile Control Platform for Autonomous Robotics in Sports Field Maintenance

Development of a Scalable Mobile Control Platform for Autonomous Robotics in Sports Field Maintenance

kitrum.com
Sports
Robotics & UAV

Identifying Challenges in Automating Sports Field Maintenance and Control

A sports facility management company faces difficulties in efficiently controlling and managing autonomous field painting robots across multiple locations. They require a mobile platform to enable real-time control, customization, and monitoring of robotic field painting operations, to enhance scalability, improve user experience, and reduce manual oversight.

About the Client

A technology-focused company specializing in the development and deployment of autonomous robotic solutions for sports facility management, aiming to streamline field marking and maintenance processes.

Goals for Developing an Mobile Control and Management System for Autonomous Sports Field Robots

  • Create a mobile application enabling users to control multiple autonomous field painting robots and manage various sports fields with ease.
  • Implement real-time monitoring features, including GPS tracking of robots for location management and operational status.
  • Allow customization of field parameters such as logos, dimensions, and sport-specific markings, with dynamic updates.
  • Support manual override via a joystick interface for remote navigation and troubleshooting.
  • Build a scalable, stable, and testable architecture that can support a growing user base and feature set.
  • Ensure integration with existing hardware APIs and cloud infrastructure for seamless operation.

Core Functional Capabilities for Autonomous Sports Field Maintenance Control Application

  • Custom user interface tailored to facility manager workflows.
  • Ability to set up and manage multiple fields with custom designs, logos, and dimensions.
  • Manual control mode with an onscreen joystick for direct robot navigation.
  • Manage multiple robots and fields, including adding and removing assets.
  • Real-time GPS tracking and status monitoring of all connected robots.
  • Support for dynamic updates and quick adjustments during operations.

Preferred Technologies and Architectural Approaches

Cross-platform mobile development frameworks like Flutter
.NET for backend development
Microsoft Azure or equivalent cloud platform for scalability and API hosting
Custom APIs for hardware communication

Necessary External System Integrations

  • Hardware control APIs for field robots
  • GPS and location tracking systems
  • User authentication and profile management systems
  • Cloud storage and database solutions

Critical Non-Functional System Requirements

  • Scalability to support increasing numbers of robots and user accounts
  • High system availability with minimal downtime
  • Secure user authentication and data privacy
  • Responsive UI with low latency for real-time control
  • Reliable GPS and sensor data integration

Projected Business Outcomes and Benefits of the Control System

In deploying the mobile control platform, the client expects to enable seamless management of autonomous field painting robots across multiple locations, significantly improving operational efficiency. Anticipated benefits include increased scalability to support a growing clientele, enhanced user experience through tailored UI and real-time features, and reduced manual oversight, leading to faster setup and more accurate field markings. These improvements aim to serve a customer base of over 1,000 users, offering real-time control and customization, with continued scalability and feature expansion planned.

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