Collaborative Tracking and Capture of Aerial Object using UAVs
This addresses the challenge of robust aerial object capture for robotics competitions, but it is incremental as it builds on existing multi-UAV collaboration methods.
The paper tackles the problem of capturing an aerial target using multiple UAVs, achieving autonomous detection, approach, and capture without disturbing the carrier vehicle, with validation through simulation and hardware implementation.
This work details the problem of aerial target capture using multiple UAVs. This problem is motivated from the challenge 1 of Mohammed Bin Zayed International Robotic Challenge 2020. The UAVs utilise visual feedback to autonomously detect target, approach it and capture without disturbing the vehicle which carries the target. Multi-UAV collaboration improves the efficiency of the system and increases the chance of capturing the ball robustly in short span of time. In this paper, the proposed architecture is validated through simulation in ROS-Gazebo environment and is further implemented on hardware.