US 12,008,702 B2
Information processing device, information processing method, and program
Takashi Seno, Tokyo (JP); Yohsuke Kaji, Chiba (JP); Tomoya Ishikawa, Ibaraki (JP); and Gaku Narita, Kanagawa (JP)
Assigned to SONY GROUP CORPORATION, Tokyo (JP)
Appl. No. 17/604,178
Filed by SONY GROUP CORPORATION, Tokyo (JP)
PCT Filed Mar. 4, 2020, PCT No. PCT/JP2020/009155
§ 371(c)(1), (2) Date Oct. 15, 2021,
PCT Pub. No. WO2020/217727, PCT Pub. Date Oct. 29, 2020.
Claims priority of application No. 2019-080690 (JP), filed on Apr. 22, 2019.
Prior Publication US 2022/0215609 A1, Jul. 7, 2022
Int. Cl. G06T 13/80 (2011.01); G06T 1/00 (2006.01); G06T 11/00 (2006.01); G06T 13/40 (2011.01)
CPC G06T 13/80 (2013.01) [G06T 1/0014 (2013.01); G06T 11/00 (2013.01); G06T 13/40 (2013.01)] 13 Claims
OG exemplary drawing
 
1. An information processing device comprising:
circuitry configured to:
generate an environment map including type and layout information about an object in a real world;
classify an action object movable in the real world into a first action object representing a learning-processing target or a second action object representing a non-learning-processing target;
generate first action analysis data of the first action object and second action analysis data of the second action object;
generate correspondence data representing correspondence among the environment map, first time-series data of the first action analysis data, and second time-series data of the second action analysis data;
generate an action model by performing a machine learning process using the correspondence data, wherein the action model is capable of outputting, using the environment map as an input value, a result of action estimation as an output value; and
generate action control data for an agent, using the action model, wherein the agent includes at least one of a virtual character or a physical robot.