Computer-on-Modules (COMs) provide the high-performance computing core for robotic-assisted surgery (RAS), delivering the deterministic processing required for real-time motion control and high-resolution imaging. This modular technology enables precision, minimally invasive procedures, and faster recovery times that define modern surgical environments.
Processing Real-Time Data Streams in Surgical Robotics
Robotic surgery has shifted from a niche innovation to a standard tool across many surgical specialties, from urology and gynecology to general and orthopedic procedures. Modern systems give surgeons a 3D, high-definition view of the surgical field and allow for precise, steady movements—even in deep or narrow anatomical spaces where manual control is challenging.
Behind the scenes, Computer-on-Module (COM) solutions provide the computing power that makes this possible. They process high-resolution imaging, manage real-time motion control, synchronize numerous sensor inputs, and continuously monitor system safety - all under strict requirements for reliability and low latency. As robotic systems continue to expand in number and complexity, COMs are becoming the “brains” that allow surgeons to rely on robotic-assisted techniques with confidence and consistency.
For a deeper look at the evolution of these “processing brains” – from NASA’s early research into telesurgery to the first robotic brain biopsy in 1985 – read our full analysis in the whitepaper: Beyond Science Fiction: Realizing the Potential of Robotic-Assisted Surgery.
Why are COMs Perfect for Robotic-Assisted Surgery?
In robotic assisted surgery, COMs are ideal for operating room environments because they combine high-compute density and real-time processing with modularity and architectural flexibility. Separating the core processor from the application-specific carrier board allows medical OEMs to upgrade silicone capabilities, scale performance, and optimize device lifecycles, without a costly, ground-up system redesign.
This modularity allows developers to directly address the unique challenges of the operating room. Industry experts identify five core technologies – AI, machine learning, haptic feedback, real-time networking, and 3D visualization – as the essential pillars for the future of RAS. To deliver these capabilities, surgical environments require computing solutions that deliver:
• Real-time performance: Deterministic latency to synchronize video, sensors, and robotic actuation.
• Compact form factor: Minimized physical footprint to fit within highly constrained surgical enclosures.
• Longevity: 10+ years of lifecycle support to match medical equipment deployment cycles.
• AI and edge compute integration: Onboard processing power for real-time AI inference, image analysis, and autonomous diagnostic decision support.
• Security and regulatory compliance: Hardware-enabled security primitives (like Secure Boot, Trusted Platform Module, and IEC 62443-aligned cybersecurity features) to meet medical device standards.
A Market on the Rise
The demand for surgical robots—and by extension, COMs—is on a steep rise. According to Statista, the global surgical robot market is projected to grow from just over $7 billion in 2018 to around $16 billion by 2028. North America leads the charge, followed closely by Europe and the Asia-Pacific region.
The COVID-19 pandemic temporarily slowed growth in 2020, but the recovery has been strong and steady. With aging populations, increased demand for minimally invasive procedures, and technological advancements, the surgical robotics market is poised for double-digit growth over the next several years.
Which COM Standard for Which Types of Surgical Robot?
Not all surgical robots are created equal. Today’s systems span a wide range—from powerful multi-arm platforms in major hospital ORs to compact, portable units built for ambulatory surgery centers. Each type places different demands on its computing core and understanding that spectrum is key to appreciating which COM standard is suitable.
| Robot Category | Typical Applications | Technical Requirements | Recommended COM Standards |
|---|---|---|---|
| High-performance multi-arm systems | Urology, gynecology, colorectal, and thoracic procedures. | Multi-core processing and GPU support for 3D HD imaging, force feedback, and AI-assisted workflows; constant hardware updates needed to have the best computing performance available. | COM-HPC and high-end COM Express. |
| Compact modular robotic arms | Orthopedics, neurosurgery, rehabilitation, and diagnostic imaging. | Demands precision motion control and sensor fusion; must support intuitive manual-guidance (teaching) modes with low power draw in a tight spaces. | COM-HPC Mini and other compact form factors. |
Looking Ahead
As surgical robots become smarter, smaller, and more autonomous, COMs will continue to evolve alongside them. Expect more integration of AI capabilities, edge computing, and even better energy efficiency. For medical device manufacturers, choosing the right COM partner could be the difference between innovation and obsolescence. In the high-stakes world of surgical robotics, it’s not just the robot’s arms that matter—but what’s in its head.
Ready to move beyond the theory? Our latest whitepaper, Beyond Science Fiction, explores the technological milestones and future trajectory of robotic-assisted surgery.
Whitepaper: Computer-on-Modules Powering the Future of Robotic-Assisted Surgery
