SAN JOSE, CA, Mar 24, 2026 – NXP Semiconductors introduced robotics solutions for real-time data processing, secure data transport, and advanced networking. Developed with NVIDIA, the platform combines NXP SoCs with NVIDIA Holoscan Sensor Bridge (HSB) to support sensor fusion, machine vision, and precision motor control. The design reduces discrete components, lowering footprint, power use, and cost, while simplifying software for sensing and actuation, including humanoid robot systems.
NXP provides integrated robot body solutions that combine edge processing and low-latency networking for secure, real-time communication. The solutions integrate NVIDIA HSB with NXP’s software stack, enabling direct data transfer between the robot body and the robot brain, reducing latency. This approach also supports real-time AI processing that requires time-critical decision making.
Charles Dachs, executive vice president and general manager, secure connected edge, NXP Semiconductors said: “Physical AI is redefining what machines can do in the real world, and humanoid robots represent the most complex expression of that revolution. By combining NXP’s deep expertise in edge processing, secure networking, functional safety and real-time control with NVIDIA robotics platforms, we are greatly simplifying physical AI development, enabling seamless connectivity between the physical AI edge and the central brain. This is just the beginning of what NXP will deliver to accelerate the ecosystem for physical AI.”
Deepu Talla, vice president of Robotics and Edge AI, NVIDIA added: “The development of autonomous machines requires a high-performance computing architecture that can synchronize complex motor controls with real-time perception. By integrating NVIDIA Holoscan Sensor Bridge into its edge portfolio, NXP is providing developers with a scalable foundation to accelerate the deployment of physical AI.”
NXP and NVIDIA are aligning hardware and software to support an architecture for full-body humanoid robotics. The approach combines NXP edge processors, motor control MCUs, automotive networking, asymmetric high-throughput data transport from Aviva Links, and functional safety capabilities with NVIDIA AI infrastructure. The resulting architecture supports flexible, energy-efficient system design for next-generation robots.
NXP’s first HSB-ready robotics solutions include machine vision and motor control solutions. The machine vision solution uses the i.MX 95 applications processor to deliver high-bandwidth data to the robot control system. The motor control solution uses a kinematic chain of i.MX RT1180 MCUs, connected through the S32J TSN switch to the control system. This motor control solution supports industrial protocols including EtherCAT and TSN. The design reduces footprint, power use, and cost while maintaining performance, safety, and security, and supports full-body humanoid robot systems.
Source: NXP Semiconductors
About NXP Semiconductors
NXP Semiconductors, established in 2006 as a spin-off from Philips, is headquartered in Eindhoven, Netherlands. The company specializes in high-performance mixed-signal and standard product solutions, including microcontrollers, application processors, communication processors, connectivity chipsets, analog and interface devices, RF power amplifiers, security controllers, and sensors. The products serve various industries such as automotive, industrial, Internet of Things (IoT), mobile, and communication infrastructure. With a global presence in over 30 countries, the company employs around 34,000 individuals. NXP is recognized for its innovations in near-field communication (NFC) technology and its significant contributions to automotive electronics, including microcontrollers and analog chips used in vehicle systems.
About NVIDIA
NVIDIA, founded in 1993 and headquartered in Santa Clara, CA, designs and manufactures graphics processing units, systems on chips, networking hardware, and AI intelligence software such as CUDA. Its products serve industries including gaming, data centers, autonomous vehicles, professional visualization, robotics, health care, and energy. The company introduced the GPU in 1999 and later expanded into accelerated computing and AI infrastructure. In gaming, its GPUs support high-performance rendering, while in AI and high-performance computing, its systems provide the infrastructure for training and deploying large-scale models. NVIDIA also develops tools for robotics and autonomous driving.