Inertial Labs Launches New INS-NV Robotics Platform
The platform combines edge AI and inertial navigation to support operations in environments where GNSS signals are compromised.
Updated on Oct. 23, 2026 in Robotics
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Inertial Labs has introduced the INS-NV development platform, a new system that integrates inertial navigation with NVIDIA Jetson Orin NX edge AI processing. It is specifically designed to provide reliable positioning and velocity measurements when standard GNSS signals are unavailable or degraded.
Why it matters
By combining edge AI with advanced navigation algorithms, the platform aims to significantly reduce the development time and budget required for creating robust navigation systems. This allows for navigation in challenging environments where traditional satellite signals are frequently unreliable or intentionally compromised.
The system supports six GNSS constellations, including GPS, QZSS, GLONASS, Galileo, BeiDou, and NavIC. It integrates MEMS accelerometers, gyroscopes, magnetometers, and a barometric altimeter to maintain precise navigation data.
The players
Inertial Labs
This company specializes in the development and manufacturing of inertial navigation and orientation tracking systems for various industries.
NVIDIA
A global technology firm known for creating the Jetson Orin NX, an advanced edge AI processor used in robotics and autonomous systems.
The details
The platform uses sensor fusion filters and navigation algorithms to integrate hardware and software into a single unit. It offers variants compliant with the Modular Open Systems Approach and supports MAVLink, pntOS, and ASPN for broad compatibility with robotics systems.
Timeline
Inertial Labs released the INS-NV platform on October 23, 2026.
The Tech Race
The integration of high-performance edge AI processors like the NVIDIA Jetson Orin NX into navigation platforms represents a critical shift toward autonomous systems that can process complex data locally. This replaces legacy navigation units that relied on heavy external cloud processing or simple, low-power microcontrollers.
Developers and robotics engineers can utilize this platform to streamline the creation of autonomous hardware, potentially shortening design cycles for navigation-dependent devices. The system supports modular vision camera and sensor additions, allowing for more flexible integration in final commercial products.
The takeaway
The INS-NV platform highlights the growing trend of embedding sophisticated edge AI directly into navigation hardware to solve signal-reliability issues. Companies looking to enhance the autonomy of their robotic assets should evaluate how integrated sensor fusion can mitigate dependencies on satellite connectivity.
Further reading
For more information on the latest advancements in autonomous systems, visit the Robotics section.
Live Poll
Do you trust AI-integrated navigation systems to reliably guide you when GPS signals are unavailable?
