Legged robots beyond bioinspiration.

Advances in engineering enable wheeled-legged hybrid locomotion, an achievement not feasible in biological systems.

Tell Me, What Do You See?-Interpretable Classification of Wiring Harness Branches with Deep Neural Networks.

In the context of the robotisation of industrial operations related to manipulating deformable linear objects, there is a need for sophisticated machine vision systems, which could classify the wiring harness branches and provide information on where to put them in the assembly process. However, industrial applications require the interpretability of the machine learning system predictions, as the user wants to know the underlying reason for the decision made by the system. We propose several different neural network architectures that are tested on our novel dataset to address this issue.