Real-time Robotics OS

Sub-millisecond sensor fusion. C++ control loops, ML inference at the edge, hardware abstraction across multiple platforms, OTA deployment.

C++RustROS2CUDARTOSgRPC

THE PROBLEM

Needed a unified operating system that could run identical autonomy stacks across fundamentally different robot hardware - bipeds, quadrupeds, wheeled platforms - without per-platform rewrites.

OUR APPROACH

We designed a hardware abstraction layer in C++ with Rust safety wrappers for the sensor fusion pipeline. The system runs real-time control loops at 1kHz while simultaneously performing ML inference on edge GPUs, with a gRPC-based OTA system for fleet-wide deployments.

TECHNICAL DEPTH

01Hardware abstraction layer supporting 7+ distinct platforms

02RTOS-scheduled control loops at 1kHz with deterministic latency

03Sensor fusion pipeline: IMU, LiDAR, stereo vision, force/torque

04Edge CUDA inference for perception and planning

05Zero-downtime OTA deployment across distributed fleet

OUTCOME

Running in production across multiple commercial deployments. Sub-millisecond sensor fusion latency sustained.

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