FUTURE PREDICTION, USING STOCHASTIC ADVERSARIAL BASED SAMPLING, FOR ROBOTIC CONTROL

Piergiovanni Anthony Jacob,Angelova Anelia,Toshev Alexander,Ryoo Michael

user-5e9d449e4c775e765d44d7c9(2021)

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摘要
Techniques are disclosed that enable the generation of predicted sequences of terminals using a generator model portion of a prediction model. Various implementations include controlling actuators of a robot based on the predicted sequences of terminals. Additional or alternative implementations include jointly training the generator model portion of the prediction model using a discriminator model portion of the prediction model using, for example, stochastic adversarial based sampling.
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关键词
Sampling (statistics),Generator (computer programming),Discriminator,Robot,Control engineering,Actuator,Computer science,Implementation,Robotic control
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