Cyberworks Robotics Brings Advanced, Hallucination-Free Operation to Autonomous Wheelchairs with ASUS IoT PE2100U

Speeding Time to Market for OEMs with Turnkey Software and White Glove Support

From autonomous mobile robots (AMRs) in factories to driverless taxis in cities, the autonomous navigation market is growing rapidly. But one key use case has remained elusive: self-driving wheelchairs.

That’s not for lack of market demand. Aging populations mean more people with physical impairments whose quality of life would be greatly improved by autonomous wheelchairs. And hospitals and airports, hard hit by labor shortages in recent years, have an urgent need for automated mobility solutions.

But original equipment manufacturers (OEMs) still struggle with a serious implementation barrier: AI hallucinations. The neural networks that underlie most automated navigation systems are non-deterministic, leading to unpredictable behavior. That’s a manageable limitation for floor-cleaning robots in a warehouse. But it’s an unacceptable safety and performance issue when transporting patients on a chaotic hospital floor, or moving elderly travelers through a crowded airport concourse.

Cyberworks Robotics has solved this problem with its OmniSuite, a full-stack software solution for self-guided navigation use cases that eliminates AI hallucinations. The company offers the software to device manufacturers along with extensive engineering support. It’s already achieving impressive results: Cyberworks recently helped several OEMs develop and test the first successful, hallucination-free autonomous wheelchair for medical settings.

To deploy OmniSuite in a self-driving wheelchair, Cyberworks needed an industrial PC that could handle AI workloads and accommodate multiple types of sensors. The company found the platform it needed in the ASUS IoT PE2100U Intelligent Edge Computer which offers robust edge AI performance, abundant I/O options, low power consumption, and excellent thermal management.

“By embedding our software stack in ASUS IoT PE2100U, we’re able to offer a turnkey solution to OEMs, cutting their development time to weeks instead of years.”

—Vivek Burhanpurkar, CEO, Cyberworks Robotics

Partnership Highlights

• The compact, efficient ASUS IoT PE2100U offers a CPU powerful enough to run OmniSuite’s advanced AI workloads without dedicated hardware acceleration.
• The Intelligent edge computer’s numerous I/O options support the complex sensor-fusion system the autonomous wheelchair relies on to achieve error-free navigation in crowded medical settings.
• The ASUS IoT PE2100U offers low power consumption and thermally efficient design that delivers high-performance computing without significantly impacting wheelchair battery life.
• ASUS products’ remote management capabilities help Cyberworks provide aftermarket support for the autonomous wheelchair solution via over-the-air (OTA) software updates for scheduled software releases and occasional patches.
• The ultra-reliable ASUS IoT edge computing lineup—with ruggedized options for use cases in harsh environments—enables Cyberworks to pursue a wide range of additional product development pathways for its OmniSuite autonomous navigation software.

About Cyberworks Robotics

Based in Ontario, Canada, Cyberworks Robotics is a leader in the development of autonomous navigation solutions.

The company takes a proprietary approach to artificial intelligence that blends established, deterministic machine learning techniques with modern neural networks in order to achieve error-free navigational AI.

Its OmniSuite software stack enables turnkey self-driving vehicle development across multiple use cases—from industrial AMRs like floor scrubbers and self-driving forklifts to personal mobility solutions like automated wheelchairs. In combination with Cyberworks’ white glove engineering assistance, this enables OEMs to innovate market-ready solutions more quickly than ever before.

The Challenge: Building a Safe, Reliable Autonomous Wheelchair Solution for Hospitals and Airports

To develop a self-driving wheelchair for use in medical and transportation settings, Cyberworks Robotics partnered with third-party medical equipment manufacturers.

Cyberworks had already solved the problem of AI hallucinations at the software level. But the company needed an industrial computing platform powerful and reliable enough to support its sophisticated autonomous navigation suite in a real-world scenario.

In addition, the company required:

• Extensive I/O ports to support different kinds of sensors such as LiDAR, cameras, and Inertial Measurement Units (IMUs).
• The ability to perform OTA software updates for quarterly releases and infrequent patches.
• Excellent thermal management and low power consumption to avoid taxing the wheelchair’s lithium-ion battery power source.

The Solution: ASUS IoT PE2100U Supports Rapid, Customized Product Development

Cyberworks Robotics chose the ASUS IoT PE2100U industrial PC (IPC). Built for edge AIoT use cases, it delivers the computing power, connectivity, and operating capabilities that Cyberworks needs.

Feature	ASUS IoT Intelligent Edge Computer PE2100U
Processor	Intel® 13th generation Core™ i7 CPU with up to 64GB RAM to handle complex edge AI workloads without the need for a dedicated GPU.
Form Factor	Compact 254 x 147 x 57 mm (10 x 5.79 x 2.24 inch) form factor for easy integration into automated robotics solutions.
I/O	Rich I/O options, including multiple Ethernet ports, six USB ports, and up to four COM ports, enable multi-sensor arrays for intelligent navigation use cases.
Power and Thermal Management	Low power, fanless operation, even with full CPU utilization, and an operating range of -20~70°C help support battery-powered edge solutions.

The PE2100U allowed Cyberworks Robotics to easily integrate its complete OmniSuite solution and sensors into its partner’s electric wheelchairs, significantly reducing development time.

The company’s hallucination-free software stack ensured error-free wheelchair operation in busy environments under any lighting conditions. In live trials at a Toronto hospital, the self-driving wheelchair was rated an unqualified success, with no operational anomalies or mishaps recorded.

The ASUS IoT PE2100U’s operational performance was equally impressive. It enabled OmniSuite to run with only 70% CPU utilization: a level of efficiency that leaves the door open to additional software capabilities and other AMR use cases in the future. The IPC’s low power consumption and efficient thermal management also helped reduce strain on the wheelchair’s battery, which enabled the solution to run for 16-hour shifts on a single charge.

“In our hospital trial, medical staff said that the autonomous wheelchair exceeded their expectations, and 100% of the patients who participated in the pilot program said they would use it again. That’s a remarkable result and something we’re really proud of.”

—Vivek Burhanpurkar, CEO, Cyberworks Robotics

Helping OEMs Bring Innovative Solutions to Market Faster

Now validated under real-world conditions, the autonomous wheelchair solution is expected to see its first full commercial deployment in early 2026

Cyberworks expects this success to be just one of many more to come. Its full-stack OmniSuite software and close engineering support, in combination with reliable, high-performance ASUS IPCs, will enable other OEM partners to go to market faster and more efficiently.

To learn more about how ASUS products like the ASUS IoT PE2100U enable groundbreaking AIoT and edge computing applications, visit the ASUS IoT website.