https://github.com/ysayaovong/autonomous-landscape-drone-system

This repository features the design and implementation of a self-service landscape drone system, leveraging autonomous navigation and task automation for efficient landscaping operations. The project emphasizes user-friendly controls, safety, and optimized performance.
https://github.com/ysayaovong/autonomous-landscape-drone-system

automation autonomousdrones digitalsimulation dronetechnology efficientlandscaping landscaping obstacledetection statemachinedesign synchronouslogic taskautomation

Last synced: 24 days ago
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This repository features the design and implementation of a self-service landscape drone system, leveraging autonomous navigation and task automation for efficient landscaping operations. The project emphasizes user-friendly controls, safety, and optimized performance.

• Host: GitHub
• URL: https://github.com/ysayaovong/autonomous-landscape-drone-system
• Owner: YSayaovong
• Created: 2024-09-17T15:27:05.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-12-03T19:43:16.000Z (about 2 months ago)
• Last Synced: 2024-12-03T20:33:25.328Z (about 2 months ago)
• Topics: automation, autonomousdrones, digitalsimulation, dronetechnology, efficientlandscaping, landscaping, obstacledetection, statemachinedesign, synchronouslogic, taskautomation
• Homepage:
• Size: 17.7 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Autonomous Landscape Drone System

## What I Did

I developed a Python-based simulation for an autonomous drone system capable of performing landscaping tasks such as trimming and spraying.

## Why I Did This Project

This project was a challenge to simulate real-world automation using Python. It allowed me to learn more about robotics algorithms and integrate sensors for efficient navigation.

## What I Accomplished

- Designed and simulated a drone system for landscaping operations.

- Gained knowledge about robotics and real-time obstacle detection.

- Improved problem-solving skills by creating a system that mimics real-world applications.