Parsa Rezaei

Work · NASA MINDS competition

Autonomous Aerial Docking and Recharge

NASA MINDS 2024 - Finalist

A heavy-lift carrier UAV acting as an airborne charging hub and data relay, letting micro-drones dock in flight to recharge, offload sensor data and borrow GPU cycles.

Parsa Rezaei beside the heavy-lift carrier quadcopter, showing its carbon arms, GPS module and flight controller
Parsa Rezaei beside the heavy-lift carrier quadcopter, showing its carbon arms, GPS module and flight controller

The problem

Micro-drone endurance is measured in minutes, which caps any mission built on them. Landing to recharge surrenders the position and the time.

Docking two aircraft in flight is a precision control problem where GPS is nowhere near accurate enough.

What I did

Built a vision-based docking system using OpenCV and visual-servo PID loops, closing the loop on what the camera sees instead of on position estimates.

Coordinated the swarm over ArduPilot and MAVLink with a 5 GHz Wi-Fi mesh plus LoRa telemetry, so control and bulk data used appropriate links.

Ran distributed compute across Jetson Xavier NX and Orin Nano nodes under k3s, turning the docked swarm into a compute cluster rather than just a charging stop.

Result

Mission endurance extended from minutes to hours, with the swarm doubling as a distributed compute and relay platform. Finalist at NASA MINDS 2024.

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