This is the RoboCOIN toolkit, built on LeRobot, providing an end-to-end pipeline for robot learning. It is primarily a software application/library for robotics, with strong data/research components. It offers a unified interface for controlling various real and simulated robots, collecting demonstration datasets via teleoperation, training imitation and reinforcement learning policies, and deploying them on hardware. The architecture is modular, featuring abstract base classes for robots, teleoperators, cameras, motors, and policies, all connected via a configuration registry system. It includes CLI tools, gRPC/WebSocket servers for distributed inference, and deep integration with the HuggingFace Hub for sharing datasets and models. While the core is a robust application framework, it is heavily oriented towards data-driven research, providing sophisticated dataset management (versioning, stats, video encoding), a zoo of state-of-the-art policies (ACT, Diffusion, TDMPC, Pi0, SmolVLA), and RL training infrastructure. The codebase shows signs of rapid development with some technical debt, but its active maintenance and strong architectural patterns make it a valuable resource for robotics practitioners.