- R2 Labs’ RAC controller brings ROS 2-native software to legacy factory equipment
- Released mid-2023, built on Arduino Portenta Machine Control platform
- Software-defined approach separates control logic from hardware vendor lock-in
- Industrial ROS middleware market projected to reach $3.9 billion by 2036
R2 Labs built its RAC (R2 Autonomy Controller) to solve a specific problem: any modern software engineer can control equipment through code alone, without niche automation training. The Peachtree Corners, Georgia company released the controller in mid-2023, and it’s now retrofitting legacy machines with AI vision and advanced motion control that previously required hardware replacement.
Dr. Roby Lynn, founder and CEO of R2 Labs, previously worked at Formlabs and holds a Ph.D. in mechanical engineering from Georgia Tech. His company tackles what software-defined manufacturing actually means in practice: using software platforms to control and optimize production systems, allowing manufacturers to adapt processes quickly without major hardware changes.
ROS 2 replaces proprietary control systems
The RAC is a fully integrated ROS 2-native autonomy control solution that supports multi-axis motion control and easily interfaces with a wide range of sensors and actuators. It’s built on the Arduino Portenta Machine Control, which had to be programmable with modern languages, extensible, and have the computational power to manage motor control, I/O control, machine vision, and more.
The choice of ROS 2 matters. At its core is the adoption of Data Distribution Service (DDS), a decentralized communication standard widely used in aerospace, defense, and industrial systems. Unlike the original ROS developed for academic robotics research, ROS 2 introduces built-in security mechanisms, including encryption, authentication, and access control, essential for sectors such as manufacturing, healthcare, and logistics.
Manufacturers are separating hardware lifecycles from software intelligence to improve operational flexibility, the rapid expansion of AMR fleets is creating demand for unified control platforms, and enterprises are increasingly adopting DDS-based communication systems. The industrial ROS middleware market is expected to reach $3.9 billion by 2036.
Legacy vision systems hit physical limits
Legacy systems are reaching their limits because traditional machine vision requires expensive hardware, specialized programming and struggles with product variations, environmental changes and agile manufacturing demands. The R2 Labs approach addresses this directly: modern AI systems use standard hardware with plug-and-play interfaces and can be deployed in hours rather than weeks, often paying for themselves within months.
The AI-enabled retrofit market itself is substantial. An AI-enabled robotic retrofit integrates hardware, software, and services that together transform a legacy machine into a smart one, adding sensors, updated controllers, vision systems, and new robotic end-effectors to machines that were never designed to carry them. This market is projected at $4.86 billion with the United States leading at $1.2 billion and a 12% CAGR.
Here’s what most coverage misses: the actual constraint isn’t vision accuracy or motion precision. It’s the skills gap. Traditional automation requires ladder logic programming and vendor-specific training that takes months. Software-defined controllers eliminate that bottleneck by using Python, C++, and other standard languages that software engineers already know. That’s not a convenience—it’s a fundamental shift in who can deploy and modify factory automation. When product changeovers that previously required weeks of PLC reprogramming can instead be handled by a software engineer in days, the entire economics of flexible manufacturing change.
Hardware-software decoupling enables faster adaptation
Software-defined systems can be updated, reconfigured, and scaled without physical hardware changes, enabling manufacturers to respond quickly to new product lines or process requirements. Instead of new functions requiring new hardware—an approach that is inefficient, costly and too rigid for today’s dynamic demands, control logic runs on servers or edge devices.
Instead of relying on fixed PLCs on the factory floor, control moves to software platforms running on servers, thin clients, or even in the cloud, with standardized software modules coordinating the machines. R2 Labs was named one of the top 40 most innovative companies in Georgia by the Technology Association of Georgia in March 2024.
The deployment model matters for integration. ROS 2 operates as a coordination and intelligence layer above PLCs—it does not replace safety circuits, deterministic I/O control, or real-time motion loops. One FMCG manufacturer reported that after migrating two pilot lines to a ROS 2-based control layer, changeover time dropped 64%, unplanned robotic downtime fell by 41%, and annual maintenance costs per line decreased by $38,000.
Software-defined manufacturing isn’t vaporware—it’s production hardware running open-source control stacks. The R2 Labs RAC proves the concept: legacy machines get AI vision and flexible automation without rip-and-replace upgrades. The real test is whether manufacturers will accept dependence on software updates instead of deterministic hardware they can repair in-house. That cultural shift, not the technology itself, determines adoption speed. If your plant already runs predictive maintenance workflows, adding software-defined controllers is a logical next step. If you’re still troubleshooting via tribal knowledge and paper logs, fix the data infrastructure first.
What hardware does the R2 Labs RAC controller replace?
The RAC doesn’t replace existing machinery. It adds a software control layer on top of legacy equipment, providing AI vision, multi-axis motion control, and sensor integration without removing PLCs or safety systems. Think of it as a translation layer between modern software and older industrial hardware.
Why does ROS 2 matter for factory automation compared to ROS 1?
ROS 2 uses Data Distribution Service (DDS) for decentralized communication, eliminating the single-point-of-failure master node from ROS 1. It adds encryption, authentication, and real-time performance needed for production environments. Industrial adoption accelerated after the 2022 Humble Hawksbill release with long-term support through 2027.
Article Source: How software-defined manufacturing fits into real factory operations
