- 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