MOVENSYS Showcases Real-Time Physical AI Execution Technology at Intel Edge Solution Summit 2026

29 May 2026 | News

The software-based motion control specialist demonstrates deterministic real-time robotics execution on a single Intel-powered AI PC, reducing latency between AI inference and robotic action.
Image Courtesy: Public Domain

Image Courtesy: Public Domain

MOVENSYS, a specialist in software-based motion control led by Chairman Dr. Bernard Yang, announced that it has been invited by Intel to present its real-time control technology for Physical AI execution at the Intel Edge Solution Summit 2026, a global edge computing event hosted by Intel in Taiwan on May 29.

MOVENSYS will showcase deterministic real-time control technology designed to reduce latency between AI decision-making and robotic execution, reflecting growing interest in Physical AI and edge robotics.

Addressing a Key Challenge in Physical AI

Physical AI refers to next-generation AI technology that autonomously performs visual recognition, inference, and robotic motion. However, most current systems rely on separate components: a GPU for AI inference and a motion controller for robot movement. This separation creates communication and synchronization delays, limiting the ability of robots to “see, think, and act” instantly.

The solution MOVENSYS will unveil is designed to reduce this AI decision-to-execution latency.

At its core is WMX-ROS2, MOVENSYS’ software motion controller, running on an AI PC powered by Intel’s latest Intel® Core™ Ultra Series 3 processorequipped with the Arc™ B390 GPU and integrated NPU. By integrating Intel’s AI inference optimization toolkit OpenVINO™ with Intel® TCC (Time Coordinated Computing) for deterministic real-time responsiveness, it enables AI inference and real-time robot control to run simultaneously on a single PC, without a separate robot controller.

Enabling “See–Think–Act” on a Single PC

MOVENSYS will demonstrate a collaborative robot scenario in which a single Intel Core Ultra Series 3-based PC recognizes and interprets dice and game pieces, then controls a robotic arm with precision through the same PC.

By eliminating a separate robot controller and power supply, the solution simplifies architecture while improving stability and performance.

“The next phase of Physical AI will not be determined solely by AI models, but by how fast and reliably AI decisions can be executed in the physical world,” said Dr. Bernard Yang, Chairman of MOVENSYS. “As the industry shifts from AI generation to AI execution, real-time execution infrastructure is becoming a critical layer for future robotics systems.”

He added, “Following NVIDIA GTC 2026, our participation in the Intel Edge Solution Summit demonstrates that MOVENSYS’ software-based execution technology can serve as common infrastructure for Physical AI across diverse computing environments. Our collaboration with Intel also shows a practical path toward stable Physical AI execution on a single Intel-based PC.”

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