Skip to main content

SECURITY

Fail-Safe Cobots Power the IIoT

AI robots, Industry 4.0, IIoT, Smart Factory

In 1961, General Motors installed the first industrial robot, Unimate, in one of its factories. It was essentially a robotic arm that relieved human workers of the dangerous task of picking up die castings from an assembly line and welding these parts onto vehicle chassis.

Physically, traditional stationary robots like Unimate can be tremendously powerful, with the modern equivalent being a robot arm fixed in place, working with large, heavy objects, and performing repetitive precision tasks.

Unfortunately, the “power” most industrial robots exhibit is combined with limited intelligence and little-to-no understanding of their surrounding environment. Because these robots are not equipped with sensors that allow them to detect the presence of humans and other obstacles, nor control systems that enable them to react if they were to encounter an obstruction, they must be isolated to confined spaces and very specific functions. This is a drawback for today’s digital use cases that prize efficiency, agility, flexibility, and mobility, not just in the connected factory but in logistics, smart retail, and other automated applications as well.

Nearly 60 years later, collaborative robots (cobots) integrate the sensing, intelligence, and mobility needed to operate autonomously within open environments and even interact with human counterparts working in close proximity.

Today manufacturers are seeking to build safe systems where robots and human operators can work together in the same space, at the same time.

But before these revolutionary cobots can be deployed at scale, new functional safety (FuSa) standards and technologies that comply with regulatory requirements are needed.

The platform includes all the interfaces needed for integration, eliminating the need for a separate safety controller and reducing cost and complexity.

Safety on the Smart Factory Floor

FuSa involves assurances that machinery operates correctly—or fails in a fail-safe manner—in a wide variety of scenarios. These scenarios include problematic input signals (including human errors), hardware failures, software errors, and stress caused by environmental and operational conditions. To address these issues, robotic devices like cobots must meet complex FuSa standards.

Although cobots are cutting-edge technology, industry standards organizations have been working on new technical FuSa specifications such as ISO 10218-1/2 and ISO 15066 for some time. These build on existing standards to define the safety requirements for cobot system designs. Some of the myriad safety standards and requirements defined by those organizations (Figure 1).

Table of regulatory standards for factory robots.
Figure 1. New industry standards like ISO 15066 layer on top of existing standards to define the safety requirements of smart factory cobots. (Source: ResearchGate)

Implementing all of the required standards from the ground up for every part of the system is expensive, time-consuming, and resource-intensive. One way to mitigate these issues is to implement the robot’s control safety- related system using hardware and software that have been designed with FuSa capable components.

One such technology stack can be found in NEXCOM International’s NexCOBOT SCB 100 safety control board (SCB), which is based on Intel Atom® x6000E Series processors. It provides a robust safety capability for next-generation autonomous robot controllers.

Autonomous Cobot Safety, Off-the-Shelf

The Intel Atom® x6427FE and x6200FE Processors—previously known as Elkhart Lake—contain multiple processing cores. These processors simplify the design of FuSa-compliant systems with an integrated Intel® Safety Island, a set of technical documentation, and FuSa Software capable components to support customer designs.

The SCB100 robotic control board provides a single platform that enables addressing functional safety in cobot systems. It is IEC 61508 SIL2/SC3 ready, and enables the support requirements of new safety standards like ISO 10218-1/2 and ISO 15066 from the hardware level and up the stack. When accompanied by an appropriate safe real-time operating system (RTOS), the SCB 100 allows developers or systems integrators to add their own safety-related application software and hardware components to provide differentiated, quick-to-market cobot designs.

The platform includes all of the interfaces and I/O needed for integration to a robotic system design. Its content of all the aforementioned components makes it a prime element of a robot controller system. This eliminates the need for a separate, discrete safety controller, and reduces cost and complexity.

Cobots: The Future Is Now

As Fourth Industrial Revolution pioneer Nicky Verd famously said, “The future is closer than you think.” It really is. In fact, with the advent of the Fifth Industrial Revolution and the current development of cobots, the future is now.

To deploy cobots and have them interact with humans in close proximity, often in a shared workspace, it is necessary to equip these machines with sophisticated control and safety processing platforms. The SCB 100 is one platform helping accelerate the transition from GM’s Unimate to 21st-century cobot designs.

 

Disclaimers:
Not all SKUs include every feature.
Not all features are supported in every operating system.
Not all SKUs support real-time computing, time-sensitive computing, or time-synchronous networking.

About the Author

Brandon is a long-time contributor to insight.tech going back to its days as Embedded Innovator, with more than a decade of high-tech journalism and media experience in previous roles as Editor-in-Chief of electronics engineering publication Embedded Computing Design, co-host of the Embedded Insiders podcast, and co-chair of live and virtual events such as Industrial IoT University at Sensors Expo and the IoT Device Security Conference. Brandon currently serves as marketing officer for electronic hardware standards organization, PICMG, where he helps evangelize the use of open standards-based technology. Brandon’s coverage focuses on artificial intelligence and machine learning, the Internet of Things, cybersecurity, embedded processors, edge computing, prototyping kits, and safety-critical systems, but extends to any topic of interest to the electronic design community. Drop him a line at techielew@gmail.com, DM him on Twitter @techielew, or connect with him on LinkedIn.

Profile Photo of Brandon Lewis