🤖 AI Summary
This work addresses the challenge of achieving reliable aerial docking for small unmanned aerial vehicles under stringent thrust and payload constraints. The authors propose a lightweight leader-follower dual-drone docking system featuring a modular design and a passive magnetic latching mechanism. A perception-aware supervisory framework is introduced to coordinate, in distinct phases, the approach, alignment, capture, and stabilization processes. Built upon the ROS 2 architecture and integrated with Crazyflie/PX4 flight controller interfaces, the system enables multi-stage cooperative control and synchronized logging. Experimental results demonstrate high docking success rates, low formation error, and strong heading consistency in both simulation and real-world trials, establishing—for the first time—a reproducible and quantifiable benchmark for aerial docking performance evaluation.
📝 Abstract
Reliable midair docking between small unmanned aerial vehicles (UAVs) is essential for modular aerial cooperation and manipulation, but it requires precise relative-pose control and repeatable platform under tight thrust and payload constraints. We present a dual-drone docking platform where two quadrotors operate in a leader-follower formation and dock using a lightweight modular frame with passive magnetic latching. A progress-aware mission supervisor manages phase transitions: approach, alignment, capture, and settle. This platform integrates a complete hardware-software stack (ROS 2 with Crazyflie/PX4 interfaces) and synchronized logging for benchmark evaluation. We evaluate the platform in simulation and real-world experiments using quantitative metrics such as formation error, baseline and yaw consistency, docking success rate, time-to-dock, and failure-mode statistics. The platform enables statistically grounded comparison of docking supervision and synchronization strategies and provides a practical testbed for modular aerial cooperation and repeatable midair aerial manipulation.