Learning Event Segmentation

Background: Effective long-horizon robotic manipulation systems require mechanisms to delineate distinct, temporally separated events that define task boundaries.

Question / Future Work: Learning the appropriate event segmentation from raw sensory data without explicit supervision remains an open problem for event-driven memory architectures.