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Abstract

This research introduces an advanced drone system engineered with Arduino technology and governed by an FS-16 controller, designed to revolutionize aerial applications. The drone employs state-of-the-art sensors and real-time processing algorithms, ensuring exceptional flight stability, precise navigation, and robust obstacle avoidance capabilities. By harnessing the adaptability of the Arduino platform, we have crafted sophisticated control strategies that significantly enhance responsiveness and performance in diverse environments. The FS-16 controller provides a user-friendly interface, empowering operators with seamless control and customization options. This drone is poised for impactful applications in fields such as precision agriculture, environmental monitoring, and emergency response, underscoring its versatility and practicality. By marrying affordability with cutting-edge innovation, this project exemplifies the future potential of unmanned aerial vehicles, fostering advancements in technology and accessibility across various industries.

Details

1009240
Title
Next-Gen Arduino-Driven Drone with FS-16 Control: Advancing Aerial Precision and Versatility in Diverse Applications
Publication title
Volume
616
Source details
2nd International Conference on Renewable Energy, Green Computing and Sustainable Development (ICREGCSD 2025)
Publication year
2025
Publication date
2025
Section
Green Computing
Publisher
EDP Sciences
Place of publication
Les Ulis
Country of publication
France
Publication subject
ISSN
25550403
e-ISSN
22671242
Source type
Conference Paper
Language of publication
English
Document type
Conference Proceedings
Publication history
 
 
Online publication date
2025-02-24
Publication history
 
 
   First posting date
24 Feb 2025
ProQuest document ID
3185100923
Document URL
https://www.proquest.com/conference-papers-proceedings/next-gen-arduino-driven-drone-with-fs-16-control/docview/3185100923/se-2?accountid=208611
Copyright
© 2025. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-04-02
Database
2 databases
  • Coronavirus Research Database
  • ProQuest One Academic