AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software

Summary

Worked on TIER IV, Inc.
Repository: https://github.com/tier4/AWML
arXiv paper: https://arxiv.org/abs/2506.00645

In this paper, we introduce AWML, a framework designed to support MLOps for robotics. AWML provides a machine learning infrastructure for autonomous driving, supporting not only the deployment of trained models to robotic systems, but also an active learning pipeline that incorporates auto-labeling, semi-auto-labeling, and data mining techniques. We explain the whole design of software and strategy for robotics MLOps and show the benchmark our models on our datasets.