Robotics Scissors (huggingface.co)

Hugging Face has launched a free, modular robotics course that distills the Robot Learning Tutorial into an accessible, hands‑on curriculum bridging classical robotics and modern learning‑based methods. Early units (course intro, intro to robotics and the LeRobot ecosystem, and classical robotics) are live, with upcoming modules on reinforcement learning, imitation learning, and foundation models for robotics. The course emphasizes practical skills: using the open‑source LeRobot library, implementing state‑of‑the‑art algorithms in PyTorch, and training and evaluating models on real robotics datasets so learners can apply techniques to physical systems. This matters for the AI/ML community because it packages core robotics theory with contemporary ML workflows, lowering the barrier to entry for researchers and practitioners interested in robot learning. Key technical takeaways include hands‑on RL (trial‑and‑error learning), imitation learning (behavioral cloning), and the exploration of large foundation models tailored to robotics — all tied to reproducible, community‑maintained tooling. The course also encourages contributions and issue reports, signalling an open‑source, collaborative path for growing datasets, benchmarks, and implementations that could accelerate research, reproducibility, and real‑world deployment of learning‑enabled robots.