Rendering semantically-annotated experiment videos out of robot memories

Towards life-long learning schemes for cognitive robots, having a human-like episodic memory structure and management is an important capability. By having this, they will have data from past experiences to carry such a learning process. In this paper, we show how this kind of detailed robot memories, such as the one described in [1], can be used to generate a video of the episode with semantic annotations. This methodology does not only prove that we have an adequately-detailed episodic memory structure for robots but also becomes a comprehensive tool for roboticists while analyzing, diagnosing and debugging how autonomous robots have behaved under certain conditions.