SIT-L is a software pipeline for robot situation learning, part of the CONVINCE toolchain. It implements a pipeline for learning new situations. Those situations are unexpected failures that may happen at design time. This procedure is directly related to situation awareness, by tackling the detection, identification and mitigation of unknwon anomalies.

The module encapsulates situation awareness for detection and identification, added to it a learning procedure. In the near future WP3 active/simulate plan will be added to affine the learning.

Refer to sit-l documentation to learn how to get started and use it.