October 2025: Documentation-driven improvements for AI Worker tooling in ROBOTIS-GIT/ai_worker_website. Consolidated setup, training, hardware/OMY integration docs, refreshed images/assets, added FPS guidance, and removed outdated release notes to improve user guidance and UI consistency. Includes targeted fixes to config paths and clarified checkpoint resume flows, plus new training guides and SW Update information to streamline workflows.

September 2025 monthly summary for ROBOTIS-GIT/ai_worker_website: Delivered comprehensive documentation enhancements across AI Worker, OMX/OMY hardware, and Hugging Face tooling, along with improved UX guidance for policy model downloads. Key efforts focused on operational reliability and ease of use for end users and internal teams, reducing support load and accelerating setup and deployment. Notable outcomes include detailed container startup troubleshooting, direct download links and structured asset tables, clarified data-management workflows, and explicit networking recommendations to ensure data integrity and download stability. Technical contributions leaned heavily on documentation best practices, content restructuring, and user-centric design, supported by careful version control hygiene and UI/UX improvements.

August 2025 focused on elevating developer productivity and usage clarity for the AI Worker/OMY data pipeline through comprehensive dataset preparation documentation improvements. The effort standardizes workflows, reduces onboarding time, and minimizes support needs by providing explicit guidance on policy path inputs, training loss monitoring, dataset uploading via Hugging Face CLI, and steps for merging/removing episodes. toc

July 2025 monthly summary for ROBOTIS-GIT/ai_worker_website focusing on delivering a robust dataset preparation workflow, documentation modernization, and reliable AI tooling. Highlights include UX-enabled dataset preparation updates, extensive pipeline and container improvements, CLI stability fixes, and UI/assets enhancements that reduce onboarding time and operational friction for data scientists and engineers.

June 2025 monthly summary for ROBOTIS-GIT repositories (ai_worker_website and emanual). Delivered comprehensive documentation enhancements, new dataset preparation UI assets (Web UI and Lerobot CLI pages), and notable UI/UX improvements across the AI tooling suite. Strengthened onboarding, dataset workflows, and visual consistency, driving faster time-to-value for developers and operators.