Machine Learning for Soft Robotic Sensing and Control

Herein, the progress of machine learning methods in the field of soft robotics, specifically in the applications of sensing and control, is outlined. Data‐driven methods such as machine learning are especially suited to systems with governing functions that are unknown, impractical or impossible to...

Full description

Bibliographic Details
Main Authors: Keene Chin, Tess Hellebrekers, Carmel Majidi
Format: Article
Language:English
Published: Wiley 2020-06-01
Series:Advanced Intelligent Systems
Subjects:
Online Access:https://doi.org/10.1002/aisy.201900171