NXP Semiconductors has announced a new suite of robotics solutions developed in collaboration with NVIDIA, aimed at advancing the capabilities of physical artificial intelligence systems. The solutions are designed to enable secure, real-time data processing and communication for next-generation robotics, including humanoid systems.
The newly introduced platform integrates NVIDIA’s Holoscan Sensor Bridge with NXP’s highly integrated system-on-chip (SoC) portfolio. This combination allows developers to build robotics systems with reduced hardware complexity, lower power consumption, and improved performance. By minimizing the number of discrete components required, the solution also reduces system footprint and overall development costs.
Physical AI represents a rapidly evolving field focused on machines that can perceive, process, and interact with their environment in real time. Humanoid robots, in particular, require highly synchronized data processing across multiple sensors and actuators. The new solution addresses these challenges by providing low-latency communication and edge intelligence throughout the robotic system.
NXP’s robotics platform enables seamless data flow between sensors and central processing units, supporting applications such as machine vision, sensor fusion, and precision motor control. The integration of Holoscan Sensor Bridge allows for efficient transport of high-bandwidth sensor data, enabling real-time decision-making capabilities.
The architecture supports deterministic data streaming, ensuring accurate synchronization across various components of the robotic system. This is critical for achieving coordinated movement and reliable operation in complex environments. The solution also incorporates advanced networking technologies and functional safety features, drawing on NXP’s experience in automotive systems.
The initial portfolio includes a machine vision solution based on the i.MX 95 applications processor, designed to handle high-bandwidth data processing requirements. It also features a motor control system built on i.MX RT1180 microcontrollers, connected through a time-sensitive networking switch for efficient communication. These components support widely used industrial protocols, enabling compatibility with existing systems.
The modular and software-driven design allows developers to scale solutions across different levels of complexity, from basic robotic systems to advanced humanoid platforms. By providing a flexible foundation, the platform accelerates development timelines and simplifies integration.
The collaboration between NXP and NVIDIA reflects a broader effort to establish a unified architecture for robotics and physical AI systems. By combining edge processing, AI infrastructure, and secure communication technologies, the solution provides a comprehensive framework for building intelligent machines.
NXP Semiconductors continues to focus on delivering system-level solutions across automotive, industrial, and IoT markets. The company’s approach emphasizes integration, safety, and scalability, supporting the development of connected technologies that enhance performance and reliability. The new robotics solutions are expected to be available in the first half of 2026, offering developers a ready-to-deploy platform for advancing physical AI applications and accelerating innovation in robotics.
