深層ニューラルネットワークの認知ロボットへの可能性と限界
Potentials and Limitations of Deep Neural Networks for Cognitive Robots
深層学習は知覚表現に有用だが認知ロボット全体の課題には不十分であり、リザバーコンピューティングが逐次学習の鍵になり得ると論じた考察論文。
著者: Doreen Jirak, Stefan Wermter
分類: cs.RO
原文アブストラクト
Although Deep Neural Networks reached remarkable performance on several benchmarks and even gained scientific publicity, they are not able to address the concept of cognition as a whole. In this paper, we argue that those architectures are potentially interesting for cognitive robots regarding their perceptual representation power for audio and vision data. Then, we identify crucial settings for cognitive robotics where deep neural networks have as yet only contributed little compared to the challenges in cognitive robotics. Finally, we argue that the rather unexplored area of Reservoir Computing qualifies to be an integral part of sequential learning in this context.
