NXP Semiconductors has announced a new set of robotics solutions focused on reliable, secure, real-time data processing, transport, and advanced networking. Developed in collaboration with NVIDIA, these ready-to-deploy solutions mark the first in a series of NXP’s foundational robotics platforms.
NXP robotics solutions
The solutions integrate NVIDIA Holoscan Sensor Bridge with NXP’s highly integrated system-on-chips (SoCs). This reduces discrete components, lowers power consumption and system cost, and simplifies software complexity for robotic sensing and actuation, including humanoid form factors.
Physical AI and system architecture
NXP positions physical AI as a category of systems capable of sensing, interpreting, and interacting with real-world environments with precision, reliability, and safety. Humanoid robots are among the most advanced implementations, requiring low-latency data processing and transport across the robot body to support synchronized motion, dense sensor fusion, and advanced actuation.
To address these requirements, NXP’s integrated robot body solutions deliver edge intelligence and low-latency networking for real-time communication. The platform embeds NVIDIA Holoscan Sensor Bridge into NXP’s software environment, enabling real-time processing and establishing a direct transport path between the robot body and pre-specified regions of the robot brain, reducing latency in data flow.
The joint architecture combines:
- NXP edge processors and motor control MCUs
- Automotive-grade networking and TSN technology
- High-throughput asymmetric data transport via Aviva Links
- Functional safety capabilities based on automotive systems
- NVIDIA AI computing infrastructure
This creates a flexible and energy-efficient system architecture for full-body humanoid robotics.
Key solutions and capabilities
NXP’s first Holoscan Sensor Bridge-ready solutions include machine vision and precision motor control systems. These are designed to handle high-bandwidth sensor data, enable synchronized motion, and support real-time decision-making across humanoid robot bodies. Key components include:
- Machine vision: i.MX 95 applications processor, delivering high-bandwidth sensor data to the robot brain
- Motor control: Kinematic chain of i.MX RT1180 crossover MCUs, aggregated via S32J TSN switch with direct connection to the robot brain
- Industrial protocols: Supports EtherCAT® and TSN for synchronized, low-latency motor control
- Integration benefits: Reduced footprint, power consumption, and system cost while maintaining performance, safety, and security
These software-driven, highly integrated solutions provide a complete and scalable foundation for full-body humanoid robot design.
Availability
NXP stated that these robotics solutions will be available in the first half of 2026 (1H 2026).
Speaking on the robotics solutions, Charles Dachs, Executive Vice President and General Manager, Secure Connected Edge, NXP Semiconductors, said:
Physical AI is redefining what machines can achieve 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.
Commenting on the development, Deepu Talla, Vice President of Robotics and Edge AI at NVIDIA, said:
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 offering developers a scalable foundation to accelerate the deployment of physical AI.