Morphological development is part of the way any human or animal learns. The learning processes starts with the morphology at birth and progresses through changing morphologies until adulthood is reached. Biologically, this seems to facilitate learning and make it more robust. However, when this approach is transferred to robotic systems, the results found in the literature are inconsistent: morphological development does not provide a learning advantage in every case. In fact, it can lead to poorer results than when learning with a fixed morphology. In this paper we analyze some of the issues involved by means of a simple, but very informative experiment in quadruped walking. From the results obtained an initial series of insights on when and under what conditions to apply morphological development for learning are presented.
|Titel||Proceedings of 2020 International Joint Conference on Neural Networks (IJCNN)|
|Status||Udgivet - 2020|
|Begivenhed||International Joint Conference on Neural Networks - , Storbritannien|
Varighed: 19 jul. 2020 → 24 jul. 2020
|Konference||International Joint Conference on Neural Networks|
|Periode||19/07/2020 → 24/07/2020|