Convolutional‐Generative Adversarial Network: Data‐Driven Mechanical Inverse Method for Intelligent Tactile Perception

Convolutional‐Generative Adversarial Network: Data‐Driven Mechanical Inverse Method for Intelligent Tactile Perception

Inverse problem method uses the results of observations to infer the model parameters of a given system, which can be used in the area of tactile perception. By integrating tactile perception in robotic systems, reconstructing structural parameters of target object can be achieved. However, with ins...

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Bibliographic Details
Main Authors: Yiwen Li, Jingyi Zhang, Jixuan Yi, Kai Zhang
Format: Article
Language:English
Published: Wiley 2022-09-01
Series:Advanced Intelligent Systems
Subjects:
convolutional-generative adversarial networks
data-driven methods
intelligence tactile robots
inverse problems
structural inverse predicting
Online Access:https://doi.org/10.1002/aisy.202100187

Internet

https://doi.org/10.1002/aisy.202100187

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