Dataflow Oriented Robotic AI Framework - dora-rs

Explore a comprehensive presentation on dora-rs, a Dataflow Oriented Robotic AI framework designed to make ML-powered robots accessible to everyone. Discover how this innovative project leverages the existing robotic ecosystem through its ROS bridge extension. Learn about the framework's development in Rust, which offers advantages over C/C++ in terms of development speed, quality, memory safety, and security. Understand the multiple programming language APIs available, with a focus on Python as a first-class citizen. Gain insights into how developers can utilize the latest ML models from open-source communities to rapidly build robot prototypes for research, education, and rapid prototyping. Explore the C/C++/Rust API options for high-performance, low-latency production environments. Witness live demonstrations featuring physical robots showcasing their ability to understand surroundings using Vision Language Models (VLM) and program themselves in real-time using Large Language Models (LLM).

dora-rs: Dataflow Oriented Robotic AI framework | dora-rs：面向数据流的机器人AI框架 - Xavier Tao, 1ms.ai