A Flexible Software Architecture for Robotic Industrial Applications

The paper introduce a robotics software control architecture suitable for the development of complete robotic industrial applications. The architecture fuse the state-of-the-art software technologies in a single standalone platform to provide an easy integration between all the software components necessary to control a robotic application, i.e. PLC logic, robot motion program. The main goal is to provide an architecture as much as possible hardware agnostic to develop easily portable software.

[1]  Vincenzo Lippiello,et al.  An open architecture for sensory feedback control of a dual-arm industrial robotic cell , 2007, Ind. Robot.

[2]  Alexander Verl,et al.  Making existing production systems Industry 4.0-ready , 2015, Prod. Eng..

[3]  Philipp Sommer,et al.  Radar Sensor for Fenceless Machine Guarding and Collaborative Robotics , 2018, 2018 IEEE International Conference on Intelligence and Safety for Robotics (ISR).

[4]  Johannes Braumann,et al.  Direct Robot Control with mxAutomation: A New Approach to Simple Software Integration of Robots in Production Machinery, Automation Systems and New Parametric Environments , 2016 .

[5]  Stephan Kehrer,et al.  An Introduction to OPC UA TSN for Industrial Communication Systems , 2019, Proceedings of the IEEE.

[6]  Alessandro Macchelli,et al.  A REAL-TIME CONTROL SYSTEM FOR INDUSTRIAL ROBOTS AND CONTROL APPLICATIONS BASED ON REAL-TIME LINUX , 2002 .

[7]  H. Bruyninckx,et al.  An open embedded hardware and software architecture applied to industrial robot control , 2012, 2012 IEEE International Conference on Mechatronics and Automation.

[8]  Norman Finn,et al.  Introduction to Time-Sensitive Networking , 2018, IEEE Communications Standards Magazine.

[9]  Reiner Anderl,et al.  Topological Approach for Mapping Technologies in Reference Architectural Model Industrie 4.0 (RAMI 4.0) , 2017 .

[10]  Valentina Colla,et al.  Introduction of symbiotic human-robot-cooperation in the steel sector: an example of social innovation , 2017 .

[11]  Ingrid Visentini,et al.  Q-ROBOT CAST FOR LADLE AREA: REACHING NEW LEVELS OF AUTOMATION AND SAFETY IN CONTINUOUS CASTING , 2017 .

[12]  Valentina Colla,et al.  The Challenge of Digitalization in the Steel Sector , 2020, Metals.

[13]  Rolf Johansson,et al.  Integrated architecture for industrial robot programming and control , 1999, Robotics Auton. Syst..

[14]  Leonard Barolli,et al.  A CORBA‐based approach for humanoid robot control , 2001 .

[15]  Julius Pfrommer,et al.  Open Source OPC UA PubSub Over TSN for Realtime Industrial Communication , 2018, 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA).

[16]  Germano Veiga,et al.  Bridging Automation and Robotics: an Interprocess Communication between IEC 61131–3 and ROS , 2018, 2018 IEEE 16th International Conference on Industrial Informatics (INDIN).