Mobile robots can highly contribute to achieve the production flexibility envisaged by the Industry 4.0 paradigm, provided that they show an adequate level of autonomy to operate in a typical industrial environment, in which the presence of both static and dynamic obstacles must be managed. Robot Operating System (ROS) is a well known open-source platform for the development of robotic applications, recently updated to the enhanced ROS2 version, including a navigation stack (Nav2) providing most, but not all the capabilities required to a mobile robot operating in an industrial environment. In particular, it does not embed a strategy for dynamic obstacle handling. Aim of this paper is to enhance Nav2 through the development of a Dynamic Obstacle Layer, as a plug and play solution suitable for the integration of the dynamic obstacle information acquired by a generic 2D LiDAR sensor. The effectiveness of the proposed solution is validated through a campaign of simulation tests, carried out in Webots for a TurtleBot3 burger robot, equipped with a RPLIDAR A3 LiDAR sensor.

Dynamic Path Planning of a mobile robot adopting a costmap layer approach in ROS2 / Cen Cheng, Pangcheng David; Indri, Marina; Sibona, Fiorella; De Rose, Matteo; Prato, Gianluca. - ELETTRONICO. - (2022). ((Intervento presentato al convegno 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2022) tenutosi a Stuttgart (Germany) nel September 6-9, 2022 [10.1109/ETFA52439.2022.9921458].

Dynamic Path Planning of a mobile robot adopting a costmap layer approach in ROS2

Cen Cheng, Pangcheng David;Indri, Marina;Sibona, Fiorella;De Rose, Matteo;
2022

Abstract

Mobile robots can highly contribute to achieve the production flexibility envisaged by the Industry 4.0 paradigm, provided that they show an adequate level of autonomy to operate in a typical industrial environment, in which the presence of both static and dynamic obstacles must be managed. Robot Operating System (ROS) is a well known open-source platform for the development of robotic applications, recently updated to the enhanced ROS2 version, including a navigation stack (Nav2) providing most, but not all the capabilities required to a mobile robot operating in an industrial environment. In particular, it does not embed a strategy for dynamic obstacle handling. Aim of this paper is to enhance Nav2 through the development of a Dynamic Obstacle Layer, as a plug and play solution suitable for the integration of the dynamic obstacle information acquired by a generic 2D LiDAR sensor. The effectiveness of the proposed solution is validated through a campaign of simulation tests, carried out in Webots for a TurtleBot3 burger robot, equipped with a RPLIDAR A3 LiDAR sensor.
978-1-6654-9996-5
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2970835