Open-Access Platform for the Simulation of Aerial Robotic Manipulators

• Published in: IEEE access Vol. 12; p. 1
• Main Authors: Varela-Aldas, Jose, Recalde, Luis F., Guevara, Bryan S., Andaluz, Victor H., Gandolfo, Daniel C.
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Aerial Robotic Manipulator Dynamics; Algorithms; Control Algorithms; Dynamic Parameters Identification; Heuristic algorithms; Kinematics; Manipulator dynamics; Manipulators; Mathematical models; Open access; Open source; Optimization techniques; Parameter identification; Research facilities; Robot arms; Robot kinematics; Robotic Simulation; Robotics; Robots; Simulation; Source code; Vehicle dynamics
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2024.3384986

Recent technological advances have brought increased attention to aerial robotic manipulators (ARMs), particularly in applications involving physical interactions. However, translating control algorithms into real-world applications for aerial robotic manipulators may prove challenging, given the potential for accidents and the time-consuming nature of experiments; furthermore, the acquisition of aerial robotic manipulators could impose a substantial financial burden on universities, research centers, and companies. Therefore, this work addresses these issues by developing an open access platform to simulate aerial robotic manipulators and test control strategies. The presented simulator is based on the kinematics and dynamics of the Matrice-100 aerial platform equipped with a 3 DOF robotic arm, where the mathematical formulationwas developed using the Euler-Lagrange formalism. In addition, optimization techniques were used to perform the parameter identification procedure, ensuring the development of an accurate model for the open-access platform. The simulator platform is built upon the integration of Python, the Robot Operating System (ROS), and Unity 3D. These components collaborate to describe and demonstrate the behavior of the aerial robotic manipulator during the test process of control system algorithms. Simple tests were conducted to validate the open-access simulator platform. The proposed approach ensures the evaluation, testing of control strategies, and the ability to conduct experiments before hardware implementations. Finally, the proposal was published as an open source platform available in the following Code.