Learning generalizable behaviors from demonstration

Learning generalizable behaviors from demonstration

Generalizing prior experiences to complete new tasks is a challenging and unsolved problem in robotics. In this work, we explore a novel framework for control of complex systems called Primitive Imitation for Control (PICO). The approach combines ideas from imitation learning, task decomposition, an...

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Bibliographic Details
Main Authors: Corban Rivera, Katie M. Popek, Chace Ashcraft, Edward W. Staley, Kapil D. Katyal, Bart L. Paulhamus
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Neurorobotics
Subjects:
neural networks
robotics
artificial intelligence
temporal network
learning from demonstration
Online Access:https://www.frontiersin.org/articles/10.3389/fnbot.2022.932652/full

Internet

https://www.frontiersin.org/articles/10.3389/fnbot.2022.932652/full

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