ROS 2 on a Chip, Achieving Brain-Like Speeds and Efficiency in Robotic Networking

TL;DR

This paper presents a specialized hardware chip embedding ROS 2 message-passing to achieve brain-like speeds and efficiency in robotic networking, surpassing traditional CPU-based systems significantly.

Contribution

It introduces a novel FPGA-based hardware implementation of ROS 2 communication infrastructure, drastically improving speed, latency, and energy efficiency for robotic applications.

Findings

Packet transmission time under 2.5 microseconds

Networking acceleration over 62x on average

Energy consumption reduced by over 500x

Abstract

The Robot Operating System (ROS) pubsub model played a pivotal role in developing sophisticated robotic applications. However, the complexities and real-time demands of modern robotics necessitate more efficient communication solutions that are deterministic and isochronous. This article introduces a groundbreaking approach: embedding ROS 2 message-passing infrastructure directly onto a specialized hardware chip, significantly enhancing speed and efficiency in robotic communications. Our FPGA prototypes of the chip design can send or receive packages in less than 2.5 microseconds, accelerating networking communications by more than 62x on average and improving energy consumption by more than 500x when compared to traditional ROS 2 software implementations on modern CPUs. Additionally, it dramatically reduces maximum latency in ROS 2 networking communication by more than 30,000x. In situations of peak latency, our design guarantees an isochronous response within 11 microseconds, a stark improvement over the potential hundreds of milliseconds reported by modern CPU systems under similar conditions.