ROBOT CONTROL MODEL LEARNING METHOD, ROBOT CONTROL MODEL LEARNING DEVICE, ROBOT CONTROL MODEL LEARNING PROGRAM, ROBOT CONTROL METHOD, ROBOT CONTROL DEVICE, ROBOT CONTROL PROGRAM, AND ROBOT

ROBOT CONTROL MODEL LEARNING METHOD, ROBOT CONTROL MODEL LEARNING DEVICE, ROBOT CONTROL MODEL LEARNING PROGRAM, ROBOT CONTROL METHOD, ROBOT CONTROL DEVICE, ROBOT CONTROL PROGRAM, AND ROBOT

A robot control model learning device (10) performs, by using state information indicating the state of a robot which autonomously travels to a destination in a dynamic environment as an input, reinforcement learning to obtain a robot control model for selecting and outputting a behavior in accordan...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: KUROSE, Mai, YONETANI, Ryo
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
CONTROLLING
COUNTING
GYROSCOPIC INSTRUMENTS
MEASURING
MEASURING DISTANCES, LEVELS OR BEARINGS
NAVIGATION
PHOTOGRAMMETRY OR VIDEOGRAMMETRY
PHYSICS
REGULATING
SURVEYING
SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
TESTING
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Beschreibung
Zusammenfassung:A robot control model learning device (10) performs, by using state information indicating the state of a robot which autonomously travels to a destination in a dynamic environment as an input, reinforcement learning to obtain a robot control model for selecting and outputting a behavior in accordance with the state of the robot from among a plurality of behaviors including an intervention behavior for intervening in the environment, while using the number of times the intervention behavior has been performed as a minus reward.