Sony Group Corporation

Disney Enterprises, Inc.

Sony Corporation

Yuka Ariki

Jessica Kate Hodgins

Katsu Yamane

Osamu Shigeta

Takaaki Kato

Takuya Narihira

Ryosuke Sawata

Yasufumi Hayashida

Takuya Narihiri

Provided is an information processing apparatus including a learning unit that learns a heuristic function related to a path search by using a convolutional neural network. The learning unit includes a first convolutional neural network that outputs a first feature value based on an environment map, and a second convolutional neural network that outputs a second feature value related to an internal state of a search subject, performs learning using a loss related to a concatenated value of the first feature value and the second feature value, and outputs a heuristic map in which the heuristic function is represented as a two- or higher-dimensional image. The internal state of the search subject includes at least one element that has a degree of freedom different from a position in an environment.

Information processing apparatus and information processing method

To enable learning of versatile heuristics with a large reduction in search time. Provided is an information processing device including: a learning unit configured to learn a heuristics function according to path searching, with a convolutional neural network, in which the convolutional neural network carries out learning based on a plurality of obstacle maps, to output a heuristics map expressing the heuristics function as a two or more dimensional image. Moreover, provided is an information processing method including: learning a heuristics function according to path searching, by a processor, with a convolutional neural network, in which the convolutional neural network carries out learning based on a plurality of obstacle maps, to output a heuristics map expressing the heuristics function as a two or more dimensional image.

Information processing device and information processing method

Provided is an information processing device that includes an acquisition unit that acquires characteristic information of an obstructer that is at least one of a person or an animal that obstructs an operation of a designated device designated in advance, and a generation unit that generates distraction-related information regarding a distraction device for distracting the obstructer and a distraction content of the distraction device according to the characteristic information, the distraction device being different from the designated device.

Information processing device, information processing method, and information processing system

Systems, methods and products for animating non-humanoid characters with human motion are described. One aspect includes selecting key poses included in initial motion data at a computing system; obtaining non-humanoid character key poses which provide a one to one correspondence to selected key poses in said initial motion data; and statically mapping poses of said initial motion data to non-humanoid character poses using a model built based on said one to one correspondence from said key poses of said initial motion data to said non-humanoid character key poses. Other embodiments are described.

Systems and methods for animating non-humanoid characters with human motion data

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Tokyo, Japan

Yuka Ariki