Active learning strategies for robotic tactile texture recognition tasks

Active learning strategies for robotic tactile texture recognition tasks

Accurate texture classification empowers robots to improve their perception and comprehension of the environment, enabling informed decision-making and appropriate responses to diverse materials and surfaces. Still, there are challenges for texture classification regarding the vast amount of time se...

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Bibliographic Details
Main Authors: Shemonto Das, Vinicius Prado da Fonseca, Amilcar Soares
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Robotics and AI
Subjects:
tactile sensing
texture classification
active learning
class imbalancement
time series
temporal features
Online Access:https://www.frontiersin.org/articles/10.3389/frobt.2024.1281060/full

Internet

https://www.frontiersin.org/articles/10.3389/frobt.2024.1281060/full

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