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👋 Hello everyone! In today's video, we're excited to share a complete Sim2Real pipeline using the OMY robot — from reinforcement learning in simulation to real-world deployment. 👉 Introducing OMY OMY is a compact 6-DoF manipulator with a gripper, tailored for Physical AI and robotics learning. It supports both simulation and real-world operation, and its modular structure makes it ideal for research in imitation learning, reinforcement learning, and sim2real transfer. 🛠️ Simulation-to-Reality Workflow We begin in Isaac Sim, where the OMY robot is trained via reinforcement learning to perform a Reach task. After verifying the policy in Isaac Sim, we move on to Gazebo for Sim2Sim validation. The trained policy is then deployed on a Dynamixel-based dummy robot, where parameter tuning is conducted. Finally, the policy is transferred to the real OMY robot, completing the Sim2Real process. 🙏 Thank you so much for watching! If you have any questions or ideas, feel free to leave a comment. Your support helps us build better tools for the future of robotics and AI research. 📒 Manual https://ai.robotis.com/omy/introducti... 📥 GitHub Repository https://github.com/ROBOTIS-GIT/open_m... https://github.com/ROBOTIS-GIT/roboti... 💬 ROBOTIS FORUM https://forum.robotis.com/ #robotis #ros #omy #open_manipulator #robotics #physicalai #ai #Robot #Tech #opensource #deeplearning #Sim2Real #IsaacSim #GazeboSim #ReinforcementLearning #RobotDeployment