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🚗 Introducing Swerve-Type AI WORKER Our AI WORKER now comes in a new Swerve Drive configuration, optimized for logistics environments. With its agile and omnidirectional movement, the swerve-type mobile base can efficiently perform various logistics tasks such as item transport, shelf navigation, and precise positioning in narrow aisles. Compared to Omni wheels, Swerve Drive offers superior performance in terms of speed, terrain adaptability, and slip minimization, making it an ideal choice for real-world warehouse and fulfillment center applications. 📦 Optimized for Real Logistics Tasks This demo showcases how the swerve base can handle realistic logistics scenarios—navigating uneven terrain, overcoming slopes, and maneuvering accurately under load. 💡 What You'll See in This Video: In this video, you’ll see our newly developed swerve-type AI WORKER in action—executing agile movements and demonstrating robust mobility tailored for logistics settings. This demonstration is currently teleoperated, but our long-term goal is to make it fully autonomous through Physical AI research by collecting sufficient data from real-world tasks. 🔧 Built with ROS 2 & Lerobot Like all our platforms, this AI WORKER runs on ROS 2 and is fully compatible with Lerobot, ensuring smooth integration with Physical AI Tools for data acquisition, Inference, and monitoring. 📢 Stay Connected We’re continuously expanding our Physical AI capabilities. Future updates will include integration with vision-language-action models and full-body coordination. We invite you to follow our journey and join the development of truly practical AI Workers. Thank you for watching — and feel free to share your thoughts or questions in the comments below! 📥GIHUB Repo https://github.com/ROBOTIS-GIT/ai_worker https://github.com/ROBOTIS-GIT/physic... https://github.com/ROBOTIS-GIT/roboti... 💬ROBOTIS FORUM https://forum.robotis.com/ #robotis #ros #aiworker #open_manipulator #nvidia #lerobot #huggingface #robotics #physicalai #ai #ArtificialIntelligence #Robot #Tech #opensource #robotarm #LeaderFollower #imitationlearning #deeplearning