How FPGAs Could Strengthen Robot Security in Welding Cells

A recent interview published by The Robot Report has drawn attention to a topic that is becoming more relevant across industrial automation: how field-programmable gate arrays, or FPGAs, can improve robot safety and cybersecurity. In the discussion, Eric Sivertson of Lattice Semiconductor outlined how programmable hardware can provide a more deterministic and isolated layer for monitoring, control, and protection in robotic systems. For manufacturers deploying robotic welding cells, this matters because safety functions, motion control integrity, and network resilience are increasingly interconnected. A welding robot is no longer only a mechanical asset; it is also a connected computing platform that exchanges data with PLCs, HMIs, vision systems, sensors, and plant networks.

That shift is particularly visible in cells built around major robot brands such as ABB, KUKA, FANUC, Yaskawa, Universal Robots, and Doosan. Whether the application is arc welding, tack welding, or collaborative welding support, the control architecture now has to address both functional safety and cyber risk. Sivertson’s broader argument, also developed in a second article from The Robot Report, is that FPGAs can act as deterministic guardrails for physical AI and robotics. Unlike software-only layers running on general-purpose processors, FPGA-based logic can be configured to inspect signals, validate commands, and isolate anomalous behavior at hardware level with predictable timing. In industrial environments where milliseconds matter, that deterministic behavior is relevant for emergency stop chains, safe torque off supervision, encoder validation, and secure communications between subsystems.

Why FPGA-based protection is gaining attention

In practical terms, an FPGA sits between sensors, controllers, drives, and communication interfaces and can be programmed to execute specific logic in parallel. That makes it useful for tasks that require low latency and high reliability, including signal filtering, protocol bridging, and hardware-rooted security checks. In a robotic welding cell, these functions can support the integrity of torch positioning, seam tracking, workpiece handling, and safety interlocks. If a malicious command, corrupted packet, or unexpected state transition reaches the robot controller, the consequences may include downtime, scrap, or unsafe movement. FPGA-based architectures are therefore being discussed not as replacements for certified robot safety systems, but as complementary layers that can harden the overall design.

This is aligned with broader industrial requirements under standards such as IEC 61508 for functional safety, ISO 10218 for industrial robot safety, ISO/TS 15066 for collaborative robot applications, and EN ISO 13849 for safety-related parts of control systems. Cybersecurity expectations are also rising through frameworks such as IEC 62443 for industrial automation and control systems security. For integrators, the challenge is that these domains overlap. A secure boot function, authenticated firmware update, or hardware-based monitoring path may not itself be a welding feature, but it can affect the reliability of a safety PLC, robot controller, or edge device that supports welding production. As more cells include AI-assisted vision, remote diagnostics, and cloud-connected maintenance tools, the attack surface expands beyond the robot cabinet.

From robot controller security to cell-level resilience

Most established robot vendors already provide their own safety and access-control features, but the system-level picture is more complex. An ABB or FANUC robot may be integrated with third-party positioners, laser scanners, welding power sources, and MES gateways. A KUKA or Yaskawa installation may also include external axes, barcode readers, and industrial PCs for quality traceability. In cobot deployments using Universal Robots or Doosan platforms, the architecture can be even more distributed, with lightweight controllers, add-on software, and flexible end-of-arm tooling. Each interface creates a potential point of failure or compromise. FPGA-based modules can be used to supervise data paths, enforce trusted device identity, or provide deterministic preprocessing before information reaches higher-level software.

This is one reason the hardware-centric approach described by Sivertson is attracting interest. If an FPGA is used as a trusted intermediary, it can help verify that sensor data is plausible, that firmware has not been altered, and that command sequences remain within expected boundaries. In welding, where process stability depends on synchronized robot motion, wire feed, shielding gas, and arc parameters, this kind of validation can reduce the risk of cascading faults. It also supports a more segmented architecture, where critical motion and safety functions are separated from less critical analytics or remote service layers. For production managers, that can translate into better uptime and easier risk assessment during line modifications.

What this means for welding cell integrators

For robotic welding cell integrators, the main implication is architectural rather than purely component-based. FPGA technology should be evaluated as part of a layered design strategy that combines certified safety hardware, secure industrial networking, controlled remote access, and deterministic supervision of critical signals. In a standard arc welding cell, this could mean placing hardware-based validation between vision sensors and the robot controller, or using FPGA-enabled edge devices to monitor encoder feedback, interlock status, and communication integrity. In collaborative welding or assisted loading cells, where human proximity changes the risk profile, the same approach can support faster and more predictable response paths alongside safety scanners and force-limited robot functions.

Integrators also need to consider lifecycle management. A secure welding cell is not achieved only at commissioning; it depends on patching policies, user privilege management, backup procedures, and change control when adding new tooling or software. FPGA-based security can help because it is less exposed than software running on open operating systems, but it still has to be documented and validated within the machine’s conformity process. That includes alignment with IEC, ISO, and EN requirements, plus compatibility with the robot vendor’s own safety ecosystem. For SMEs and Tier-1 suppliers alike, the value lies in reducing unplanned stops and preserving process integrity without overcomplicating maintenance.

As welding cells become more connected, security-by-design is moving closer to the core of automation engineering. Companies reviewing new robotic welding or cobot welding projects may want to assess whether hardware-based monitoring and protection should be part of the specification from the start. Readers planning a new cell or retrofit can request a quote to discuss how safety architecture, robot selection, and secure integration can be aligned in a practical turnkey solution.