Design of Unmanned Aerial Manipulator Simulation Platform Based on ROS

Aiming at the problems of high cost and difficult experiments of a unmanned aerial manipulator (UAM), this paper designs and implements a simulation platform for UAM based on ROS. The platform uses ROS as the development framework and utilizes the Gazebo simulation environment to achieve dynamic simulation of the UAM and verification of control algorithms. It also conducts simulation tests for target recognition and image-based visual tracking of target objects. Through this platform, researchers can rapidly develop algorithms and evaluate the performance of a UAM in a virtual environment, thereby reducing experimental costs and risks and improving research efficiency.