NXP Semiconductors has introduced a new range of robotics solutions designed to enable secure, real-time data processing, advanced networking, and precise control for next-generation robotic systems. Developed in collaboration with NVIDIA, these solutions integrate NVIDIA Holoscan Sensor Bridge with NXP’s highly integrated system-on-chip (SoC) platforms, delivering a scalable foundation for robotics and physical AI applications.
The announcement marks the first in a series of foundational robotics solutions from NXP, aimed at simplifying the development and deployment of intelligent machines. By reducing the need for discrete components, the integrated approach lowers power consumption, minimizes system size, and reduces overall cost, while also simplifying software complexity for sensing and actuation. Physical AI represents a new phase in artificial intelligence, where machines can perceive, interpret, and interact with the real world in real time. Humanoid robots, in particular, are among the most complex implementations of this concept, requiring seamless coordination between sensors, processors, and actuators.
NXP’s new solutions address these challenges by delivering low-latency communication and edge intelligence across the robot body. By embedding Holoscan Sensor Bridge into its software ecosystem, NXP enables developers to create direct, high-speed data pathways between sensors and specific regions of a robot’s central processing system, often referred to as the “brain.” This significantly reduces latency and enhances real-time decision-making.
The collaboration between NXP and NVIDIA establishes a unified architecture for full-body humanoid robotics. It combines NXP’s expertise in edge processing, secure networking, and functional safety with NVIDIA’s AI computing platforms. This integrated architecture supports critical capabilities such as sensor fusion, machine vision, and precision motor control. It also leverages NXP’s automotive-grade networking technologies and high-throughput data transport capabilities to ensure reliable and efficient communication across robotic systems.
Charles Dachs, Executive Vice President at NXP, emphasized that physical AI is transforming the capabilities of machines in real-world environments. He noted that combining NXP’s edge technologies with NVIDIA’s robotics platforms simplifies development and accelerates innovation in humanoid robotics.
Among the initial offerings, NXP introduced a machine vision solution powered by the i.MX 95 applications processor, capable of handling high-bandwidth data streams for real-time perception. The company also unveiled a motor control solution built on i.MX RT1180 crossover microcontrollers, connected through NXP’s S32J TSN switch to enable synchronized motion and precise actuation. These solutions support widely used industrial protocols such as EtherCAT and Time-Sensitive Networking (TSN), ensuring compatibility with modern industrial and robotic systems.
By combining high-performance computing, real-time networking, and integrated hardware design, NXP’s new robotics portfolio provides a complete and scalable platform for building advanced robotic systems. The collaboration with NVIDIA highlights a broader industry shift toward tightly integrated AI and edge computing solutions. As physical AI continues to evolve, solutions like these are expected to play a key role in enabling smarter, more efficient, and highly responsive robotic systems across industries ranging from manufacturing to healthcare.
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