Neural Networks Predicting Microbial Fuel Cells Output for Soft Robotics Applications

Neural Networks Predicting Microbial Fuel Cells Output for Soft Robotics Applications

The development of biodegradable soft robotics requires an appropriate eco-friendly source of energy. The use of Microbial Fuel Cells (MFCs) is suggested as they can be designed completely from soft materials with little or no negative effects to the environment. Nonetheless, their responsiveness an...

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Bibliographic Details
Main Authors: Michail-Antisthenis Tsompanas, Jiseon You, Hemma Philamore, Jonathan Rossiter, Ioannis Ieropoulos
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Robotics and AI
Subjects:
microbial fuel cells
soft robotics
neural network
nonlinear autoregressive network
robotic control
Online Access:https://www.frontiersin.org/articles/10.3389/frobt.2021.633414/full

Internet

https://www.frontiersin.org/articles/10.3389/frobt.2021.633414/full

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