Title:
METHOD OF PREDICTION OF A STATE OF AN OBJECT IN THE ENVIRONMENT USING AN ACTION MODEL OF A NEURAL NETWORK
Document Type and Number:
WIPO Patent Application WO/2019/068235
Kind Code:
A1
Abstract:
A method, device and system of prediction of a state of an object in the environment using an action model of a neural network. In accordance with one aspect, a control system for an object comprises a processor, a plurality of sensors coupled to the processor for sensing a current state of the object and an environment in which the object is located, and a first neural network coupled to the processor. One or more predicted subsequent states of the object in the environment are determined using an action model of the neural network and a current state of the object in the environment and a plurality of action sequences. The action model comprises a mapping of states of the object in the environment and actions performed by the object for each state to predicted subsequent states of the object in the environment.
Inventors:
YAO HENGSHUAI (CA)
NOSRATI SEYED MASOUD (CA)
CHEN HAO (CA)
YADMELLAT PEYMAN (CA)
ZHANG YUNFEI (CA)
NOSRATI SEYED MASOUD (CA)
CHEN HAO (CA)
YADMELLAT PEYMAN (CA)
ZHANG YUNFEI (CA)
Application Number:
PCT/CN2017/109551
Publication Date:
April 11, 2019
Filing Date:
November 06, 2017
Export Citation:
Assignee:
HUAWEI TECH CO LTD (CN)
International Classes:
B60W30/14; G06V10/82; G06V10/764; G06V20/56; G05D1/00; G06N3/04
Foreign References:
| CN106080590A | 2016-11-09 | |||
| US20070043491A1 | 2007-02-22 | |||
| US9511767B1 | 2016-12-06 | |||
| US20110060425A1 | 2011-03-10 | |||
| JPH04274935A | 1992-09-30 |
Other References:
PATHAK, DEEPAK ET AL.: "Curiosity-Driven Exploration by Self-Supervised Prediction", 2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW), 24 August 2017 (2017-08-24), pages 488 - 489, XP033145813, ISSN: 2160-7516, DOI: 10.1109/CVPRW.2017.70
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