Accessible and Versatile Robot Learning Framework for Diverse Real-World Tasks

A low-cost, easily reproducible robot learning framework that enables deployable imitation learning on industrial-grade robots, achieving multi-task generalization with simple network architectures and fewer demonstrations than previously thought necessary.