Current and Emerging Techniques in Robotic Software Design for Industrial Deployment
ROS 2, DDS, and Software Architectures
DOI:
https://doi.org/10.31224/6508Keywords:
Robotic software design, DDS, Edge computing, Digital twin, Scalable robotics systems, Layered architecture, ROS 2Abstract
Robotic software is now just as important as mechanical design, because it is the software that turns a robot into a dependable system in real work conditions. This report reviews the techniques that are most widely used today and the newer approaches that are shaping industrial robotics, with a strong focus on ROS 2 as a modern middleware choice. It explains how ROS 2 differs from earlier ROS versions through its DDS based communication, and why features such as Quality of Service settings matter when robots must be responsive, scalable, and reliable. The report also compares common architectural patterns used in robotic systems, including client server and publisher subscriber communication, alongside system level approaches such as sense plan act and layered control. These techniques are then discussed in the context of real industrial pressures such as tight latency requirements, large scale deployments, integration with older systems, downtime risk, security, and skills gaps. Finally, the report proposes practical directions that can reduce these barriers, including hybrid communication designs, edge computing for faster decision making, AI assisted monitoring and tuning, and the use of digital twins to test updates safely before deployment. Overall, the report highlights that no single method solves every problem, but careful architecture choices and deployment focused practices can make robotic software more robust and easier to scale in modern industrial environments.
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Copyright (c) 2026 Samuel Mbakara John

This work is licensed under a Creative Commons Attribution 4.0 International License.