Manipulation tasks can be modeled as hybrid systems with piecewise continuous dynamics corresponding to distinct modes. Mode switches are often the result of making and breaking contacts. Our research focuses on learning the mode structure of manipulation tasks and using this structure as the basis for autonomous skill learning.