dora
A Rust-based middleware framework for building low-latency, composable, and distributed AI robotic applications using dataflow graphs.
What is dora?
DORA is a middleware framework for building AI-powered robotic applications using a dataflow-oriented architecture. It enables developers to model applications as directed graphs of nodes, facilitating low-latency, composable, and distributed processing of sensor data, AI models, and control logic. The framework solves the complexity of integrating heterogeneous hardware and software components in real-time robotics.
Robotics engineers and AI researchers developing real-time, multi-sensor, and multi-AI robotic systems, especially those needing high performance and modularity. It's also suitable for teams transitioning from or integrating with ROS2.
Developers choose DORA for its exceptional performance (10-17x faster than ROS2 in benchmarks), built-in support for modern AI models, and flexible multi-language APIs. Its use of Apache Arrow and shared memory eliminates serialization overhead, while the node hub accelerates development with pre-built components.
Overview
DORA (Dataflow-Oriented Robotic Architecture) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed dataflow capabilities. Applications are modeled as directed graphs, also referred to as pipelines.
Use Cases
Best For
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