STRADVISION Brings AI Vision Perception Expertise to Arm Total Design for Physical AI and Robotics Capability Framework Initiative

• Production-proven AI vision perception software brings series-production validation capabilities to Arm Total Design for Physical AI, an ecosystem aimed at reducing integration complexity and accelerating autonomous system development
• STRADVISION joins efforts to shape and evolve a Robotics Capability Framework, developing a common language for defining robotic system capabilities at increasing levels of sophistication. Collaboration targets the system-level integration challenge currently slowing deployment of robots and other autonomous machines

SEOUL, South Korea, Sept. 7, 2026 /PRNewswire/ -- STRADVISION, an AI company specializing in production-proven visual perception software with over a decade of experience bringing advanced driver assistance and autonomous driving systems to market, today announced it is joining the Arm® Total Design for Physical AI ecosystem. The announcement was made at Arm Everywhere in Shanghai, China.

Perception is a foundational capability for any autonomous system, whether it is navigating public roads or operating in other dynamic physical environments. STRADVISION has spent more than a decade bringing perception into production vehicles, delivering detection, classification, depth estimation and semantic segmentation across front-camera, surround-view and multi-camera configurations on a broad range of automotive compute platforms.

Delivering that capability within the compute, power, thermal and cost budgets of a production camera module is a core discipline that physical AI systems now require at scale. That experience provides a proven foundation as the physical AI ecosystem works to integrate increasingly capable perception into robots and other autonomous machines.

Physical AI is moving from technology innovation to system integration. AI and compute capability are advancing quickly, but building an autonomous machine still requires dozens of complex technologies spanning silicon, AI models, middleware, tools and applications that, today, are developed independently to work together. The result is a fragmented ecosystem in which intelligent systems are harder to design, compare, integrate and scale, and in which integration cost and time, rather than raw capability, increasingly set the pace of deployment.

Part of the challenge is that robotics also lacks a common language for describing capability. Without shared definitions that connect use cases and autonomy targets to system requirements and robotics architecture, the same capability is specified differently by every party in the chain, creating ambiguity and duplicated engineering work. The Arm Total Design for Physical AI ecosystem aims to address this by establishing a Robotics Capability Framework that aligns around a common vocabulary for defining and comparing robotic systems.

STRADVISION's production discipline is directly relevant to the fragmentation challenge this framework sets out to solve. Perception capability defined in shared terms, rather than restated program by program, allows system architects to specify what a machine must perceive, and at what level of autonomy, independently of the silicon and software stack chosen to deliver it.

"The next challenge for physical AI is bringing increasingly capable technologies together into complete, deployable systems," said Dermot O'Driscoll, Vice President of Go-to-Market, Physical AI, Arm. "Arm Total Design for Physical AI is bringing the ecosystem together to accelerate how those systems are developed, and a Robotics Capability Framework creates a common language for how those systems are defined. STRADVISION brings valuable, proven expertise in perception to both efforts."

"The hard part of physical AI is no longer whether a model can perceive something. It is whether that capability can be specified, integrated and shipped inside real constraints," said Philip Vidal, CBO of STRADVISION. "We have spent more than a decade doing exactly that in production vehicles, across almost every major automotive compute platform. Automotive has been our proving ground, not the boundary of our technology. A common language for capability is what lets the rest of the ecosystem move at the same speed, and we are glad to support Arm in establishing it."

About STRADVISION

Founded in 2014, STRADVISION is an AI company specializing in production-proven visual perception, with automotive as its first large-scale market. The company is accelerating the advent of fully autonomous vehicles by making Autonomous Driving and ADAS features available at a fraction of the market cost compared with competitors. STRADVISION's SVNet is being deployed on various vehicle models in partnership with OEMs; can power ADAS and autonomous vehicles worldwide; and is serviced by over 270 employees in Seoul, San Jose, Detroit, Tokyo, Shanghai, and Dusseldorf. STRADVISION has been honored with Frost & Sullivan's 2022 Global Technology Innovation Leadership Award, the Gold Award at the 2022 and 2021 AutoSens Awards for Best-in-Class Software for Perception Systems, the 2020 Autonomous Vehicle Technology ACES Award in Autonomy (software category), and 2025 Top SME Innovator by CLEPA for Breakthrough AI 3D Perception Network Technology. In addition, STRADVISION and its software have achieved TISAX's AL3 standard for information security management, as well as being certified to the ISO 9001:2015 for Quality Management Systems and ISO 26262 for Automotive Functional Safety.

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SOURCE STRADVISION