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This article introduces the design and implementation of an AI powered swarm drone system for autonomous and synchronized aerial missions. Each of these drones employs a Raspberry Pi zero 2W, GPS, SpeedyBee flight controller, and a servo gripper for real time navigation and object interactions. The swarm system utilizes decentralized control, mesh networking, and 3D dynamic algorithm based shape formation. The central dashboard supports mission planning, telemetry logging, and adaptive task allocation. The mechanical design and fabrication of drones has been carried out with lightweight Medium Density Fiberboard (MDF) or hybrid aluminum structures and 3D-printed parts provides for simple maintenance and upgrades. The system maintains operational safety via emergency failsafe and drone health monitoring. The relevant applications are search and rescue, environmental monitoring, infrastructure inspection, and interactive displays. The prototype confirms the applicability, flexibility, and efficacy of swarm robotics in practical situations, providing a promising platform for future autonomous airborne systems.

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Design and Development of an AI-Enabled Swarm Drone System for Coordinated Aerial Operations

  • 会议论文

  • 发表日期：

    2026年

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  • Pujita Bhatt,
  • Parag Patil,
  • Dhairya Jethi,
  • Gaddam Kaushik,
  • Yagnesh Jagtiya,
  • Prince Jain

摘要

This article introduces the design and implementation of an AI powered swarm drone system for autonomous and synchronized aerial missions. Each of these drones employs a Raspberry Pi zero 2W, GPS, SpeedyBee flight controller, and a servo gripper for real time navigation and object interactions. The swarm system utilizes decentralized control, mesh networking, and 3D dynamic algorithm based shape formation. The central dashboard supports mission planning, telemetry logging, and adaptive task allocation. The mechanical design and fabrication of drones has been carried out with lightweight Medium Density Fiberboard (MDF) or hybrid aluminum structures and 3D-printed parts provides for simple maintenance and upgrades. The system maintains operational safety via emergency failsafe and drone health monitoring. The relevant applications are search and rescue, environmental monitoring, infrastructure inspection, and interactive displays. The prototype confirms the applicability, flexibility, and efficacy of swarm robotics in practical situations, providing a promising platform for future autonomous airborne systems.