MIPS, a GlobalFoundries company, has announced a new collaboration with Inova Semiconductors GmbH to introduce a robotics control reference platform designed for advanced humanoids and physical AI edge systems. Through this partnership, the companies aim to simplify robotics development while enabling high-performance, secure, and energy-efficient AI-powered robotic systems.
To begin with, the platform builds on Inova’s deep expertise in automotive zonal architectures. By combining this capability with MIPS’ advanced RISC-V compute technologies, the solution supports mixed-criticality computing environments. As a result, developers can efficiently run real-time control loops alongside secure AI workloads within a unified architecture. Furthermore, the platform will be manufactured using GlobalFoundries’ FDX process technology, which ensures high performance, exceptional reliability, and ultra-low power consumption.
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“Together with INOVA, we’re delivering a Physical AI reference platform that simplifies robot design, reduces BOM cost, and gives builders an open, standards-based path to create whole product families with low latency and functionally safe connectivity,” said Sameer Wasson, MIPS CEO. “Robotics is moving rapidly and the leaders will scale quickly and cost-effectively. By pairing INOVA’s high-speed communication links with MIPS’ open RISC-V compute and mixed signal technologies, this scalable reference platform turns ‘sense-think-act-communicate’ into a Physical AI building block that lowers risk, lowers cost, and accelerates time to market.”
Moreover, the companies designed the platform to accelerate the development of complex robotics systems, including advanced robotic arms. By integrating the technical strengths of INOVA, MIPS, and GlobalFoundries, the solution acts as a powerful Physical AI building block that aggregates multiple data interfaces and supports diverse networking topologies. Consequently, robotics developers can shorten development cycles while achieving high-performance multi-axis motion control for demanding real-time applications.
Technologically, the platform combines INOVA’s APXpress high-speed interface with several advanced MIPS processor technologies. These include the MIPS Atlas M8500 RISC-V high-performance microcontroller processor IP and the MIPS Atlas S8200 RISC-V AI processor IP. In addition, MIPS Atlas mixed-signal technologies work alongside GlobalFoundries’ FDX process technology to deliver highly efficient computing performance while maintaining ultra-low power operation. Together, these innovations form a custom system-on-chip (SoC) designed specifically for robotics workloads and other Physical AI use cases that demand mission-critical performance, secure on-device AI processing, and robust security capabilities.
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“Advanced humanoids demand secure, deterministic connectivity and a scalable control backbone. INOVA together with GF & MIPS, we’re giving robot makers a zonal, RISC-V-based blueprint that cuts complexity and cost to help scale humanoids and advanced robotics from prototype to production faster,” said Robert Isele, CEO at INOVA. “The creation of a reference zonal architecture for advanced robotics will enable simpler and faster creation of humanoid and other robotic form factors.”
Meanwhile, developers can gain early access to the platform through MIPS Atlas Explorer, a simulation-based hardware and software co-design environment. This platform provides virtual representations of the compute elements, allowing software teams to begin optimizing vision-language-action models even before physical hardware becomes available. Consequently, developers can prepare foundational AI models in advance and significantly accelerate the deployment of next-generation robotics control architectures.
Overall, this collaboration reflects the growing momentum behind Physical AI and humanoid robotics. By delivering an open, scalable, and energy-efficient reference platform, MIPS, INOVA, and GlobalFoundries aim to empower robotics manufacturers to move from concept to production more quickly while maintaining performance, security, and cost efficiency.
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