Sony Corporation

Sony Group Corporation

Adv Antest Corporation

The University of Tokyo

Kabushiki Kaisha Toshiba

Sony International (Europe) Gmbh

Momentive Performance Materials Japan LLC

Binsted-Mckay Yugen-Kaisha

Sony Deutschland Gmbh

Masahiro Fujita

Kotaro Sabe

Tsuyoshi Takagi

Takayuki Sakamoto

Hideki Noma

Kenta Kawamoto

Hideki Shimomura

Koji Kageyama

Rika Horinaka

Jun Yokono

Masakazu Hattori

Makoto Inoue

Yasuhiko Kato

Michael Siegfried Spranger

Naohiro Yokoo

Gabriel Costa

Hiroshi Abe

Masaki Fukuchi

Jin Sato

Masashi Takeda

Seiichi Takamura

Naoyasu Hosonuma

Kazufumi Oyama

Osamu Hanagata

Ugo Di Profio

Katsuya Muramatsu

Noritoshi Inoue

Tatsushi Nashida

Kohtaro Sabe

Takayuki Yoshigahara

Hiroaki Kitano

Atsushi Okubo

Yasuo Furukawa

Katsuki Minamino

Hirotaka Suzuki

Yu Hirono

Satoshi Komatsu

Kaoru Yoshida

Hironari Hoshino

Nobuhiko Ohguchi

Rika Hasegawa

Takao Yamaguchi

Takashi Yamamoto

Thomas Kemp

Kei Sakamoto

Keiko Abe

Shigeru Arisawa

Keiichi Yamada

Tsutomu Sawada

Kenichiro Oi

Makoto Akabane

Akira Nakamura

Chisato Numaoka

Tsukasa Ike

Ralf Kompe

Tetsuya Narita

Shinya Ohtani

Katsuya Hori

Yasukazu Okamoto

Steffen Gutmann

Yukiko Yoshiike

Tetsuya Konishi

Raquel Tato

Kikuo Mochizuki

Hisashi Kazama

Tsunetaro Matsuoka

Satoru Ishigaki

Kenichiro Ueki

Naohiro Fukumura

Vincent Hugel

Craig Ronald Arkin

Gregory Hornby

Makoto Inoe

Takayuki Fujikawa

Goerschwin Fey

Gorschwin Fey

Justin McKay

Kimberly Binsted

There is provided a data processing device and a data processing method capable of customizing a dish made by a cooking robot according to a preference of a person who eats the dish. The data processing device () according to one aspect of the present technology generates recipe data including a data set used when a cooking robot () performs a cooking operation, the data set linking cooking operation data in which information regarding an ingredient of a dish and information regarding an operation of a cook in a cooking process using the ingredient are described, and cook biological data indicating a biological reaction of the cook measured in conjunction with progress of the cooking process. The present technology can be applied to a computer that controls cooking in a cooking robot.

Data processing device and data processing method

An information processing apparatus according to an embodiment of the present disclosure includes: a flavor presentation unit that generates data for presenting, to a user who is present in a first space, a flavor of a cooking object that is present in a second space, the second space being separated from the first space; and an instruction generator that generates, on a basis of an input from the user, a control instruction for controlling an action of a cooking robot that is present in the second space.

Information processing apparatus and cooking system

There is provided an information processing apparatus that includes a preprocessing unit that determines whether or not to permit provision of a service based on emotion recognition on the basis of a predetermined criterion, an emotion estimation processing unit that performs the emotion recognition for a user by using an artificial intelligence function, and a service providing processing unit that provides a service based on an emotion recognition result by the emotion estimation processing unit, in which, when the preprocessing unit determines to permit the provision of the service, the emotion estimation processing unit performs the emotion recognition or the service providing processing unit provides the service.

Information processing apparatus, information processing method, and artificial intelligence model manufacturing method

There is provided a cooking robot, a cooking robot control device, and a control method that enable a cooking robot to customize a dish prepared according to a preference of an eater. The cooking robot () according to one aspect of the present technology controls a cooking operation performed by a cooking arm (), using recipe data including a data set in which cooking operation data and cook biological data are linked, the cooking operation data describing information regarding an ingredient of a dish and information regarding an operation of a cook in a cooking process using the ingredient, and the cook biological data indicating a biological reaction of the cook measured in conjunction with a progress of the cooking process. The present technology can be applied to a cooking robot that operates an arm to cook.

Cooking robot, cooking robot control device, and control method

There is provided a polyorganosiloxane composition capable of providing a cured product which has low hardness, high transparency, high tensile strength, and low surface tackiness. A curable polyorganosiloxane composition includes: (A) alkenyl group-containing polyorganosiloxane containing straight-chained polyorganosiloxane composed of (A1) both ends alkenyl group polyorganosiloxane having a predetermined viscosity and (A2) polyorganosiloxane having a predetermined viscosity and having 0.6 or more and less than 2 alkenyl groups on average, and (A3) resinous polyorganosiloxane; (B) polyorganohydrogensiloxane composed of (B1) both ends Si—H-containing straight-chained polyorganosiloxane, and (B2) polyorganosiloxane having 3 or more Si—H; and (C) a hydrosilylation reaction catalyst, in mounts that satisfy predetermined relationships.

Curable polyorganosiloxane composition and polyorganosiloxane cured product

A data processing device includes a command generation unit configured to generate an instruction command for giving an instruction of one or more operations to be executed during a process by a robot provided with at least one arm, wherein the instruction command is generated on a basis of instruction data including image data obtained by capturing one or more images of situations during or after the process, and text data indicating at least one of an object to be utilized in the process or an operation to be executed during the process.

There is provided a position detection device to suppress an influence of a signal distortion due to a processing error or the like, the position detection device including: a reference position calculation unit that calculates a reference position of a moving body on the basis of a first signal and a second signal, the first signal being detected from a first track provided on the moving body and having a scale of predetermined cycles, and the second signal being detected from a second track provided on the moving body and having a scale of cycles less than the predetermined cycles; a slit specifying unit that specifies a slit corresponding to a position of the moving body; an in-slit position calculation unit that calculates an in-slit position of the moving body in the specified slit; and a correction unit that corrects an absolute position of the moving body.

Position detection device and position detection method

The present invention relates to an image processing system, a learning device and method, and a program which enable easy extraction of feature amounts to be used in a recognition process. Feature points are extracted from a learning-use model image, feature amounts are extracted based on the feature points, and the feature amounts are registered in a learning-use model dictionary registration section. Similarly, feature points are extracted from a learning-use input image containing a model object contained in the learning-use model image, feature amounts are extracted based on these feature points, and these feature amounts are compared with the feature amounts registered in a learning-use model registration section. A feature amount that has formed a pair the greatest number of times as a result of the comparison is registered in the model dictionary registration sectionas the feature amount to be used in the recognition process. The present invention is applicable to a robot.

Image processing system, learning device and method, and program

A gesture recognition apparatus including a detector, a controller and a gesture recognizer, and is able to detect a portion to be detected using an image captured at a first resolution without reducing the number of images to be entered per unit of time to an object detector by detecting an auxiliary portion instead when the portion to be detected is not detected at a second resolution, estimating the position of the auxiliary portion based on the position of the auxiliary portion, and extracting the periphery thereof from the image captured at the first resolution.

Gesture recognition apparatus and method thereof

Provided is a test apparatus that tests a device under test, including a vector expanding section that sequentially generates a plurality of test vectors; a predicting section that calculates a predicted value for each test vector by simulating an operation of the device under test, the predicted value indicating a prescribed characteristic value of the device under test to be measured while the device under test is supplied with a test signal corresponding to the test vector; a measuring section that obtains a measured value for each test vector by measuring the prescribed characteristic value of the device under test each time the device under test is supplied with a test vector; and a judging section that judges whether the device under test is defective based on a ratio between the predicted value and the measured value corresponding to each test vector.

Test apparatus, test method, program, and recording medium reducing the influence of variations

A behavior control system of a robot for learning a phoneme sequence includes a sound inputting device inputting a phoneme sequence, a sound signal learning unit operable to convert the phoneme sequence into a sound synthesis parameter and to learn or evaluate a relationship between a sound synthesis parameter of a phoneme sequence that is generated by the robot and a sound synthesis parameter used for sound imitation, and a sound synthesizer operable to generate a phoneme sequence based on the sound synthesis parameter obtained by the sound signal learning unit.

Robot behavior control system and method, and robot apparatus

Provided is a test apparatus that tests a device under test, including a vector expanding section that sequentially generates a plurality of test vectors; a vector selecting section that selects test vectors that cause a prescribed characteristic of the device under test, which is to be measured when test signals that are each based on one of the test vectors are supplied to the device under test, to fulfill a preset condition; and a judging section that judges pass/fail of the device under test based on measured values of the prescribed characteristic of the device under test supplied with the test signal based on the test vectors selected by the vector selecting section.

Test apparatus, test vector generate unit, test method, program, and recording medium

The present invention provides a position estimation apparatus capable of determining whether an estimated value deviates from an actual value and trying a process to correct the estimated value if the estimated value is determined to be incorrect. The position estimation apparatus employs a position prediction unit configured to produce a prediction of the position of a mobile object having an odometry sensor mounted thereon, an environment observation unit configured to keep track of each feature point in the environment of the mobile object, a prediction-error check unit configured to determine whether the position prediction produced by the position prediction unit is correct or incorrect, a position-prediction correction unit configured to correct a wrong position prediction and a position/posture updating unit configured to update the position and/or posture of the mobile object on the basis of a correct position prediction.

Position estimation apparatus, position estimation method and program recording medium

In a robot device, an action selecting/control system includes a plurality of elementary action modules each of which outputs an action when selected. An activation level calculation unit calculates an activation level AL of each elementary action on the basis of information from an internal-state manager and external-stimulus recognition unit and with reference to a data base. An action selector selects an elementary action whose activation level AL is highest as an action to be implemented. Each action is associated with a predetermined internal state and external stimulus. The activation level calculation unit calculates an activation level AL of each action on the basis of a predicted satisfaction level variation based on the level of an instinct for an action corresponding to an input internal state and a predicted internal-state variation predictable based on an input external stimulus.

Robot behavior control based on current and predictive internal, external condition and states with levels of activations

A behavior control system for a robot apparatus that operates autonomously. The behavior control system includes a plurality of behavior description sections for describing motions of the robot and an external environment recognition section. The system also includes an internal state management section for managing an internal state of the robot in response to the recognized external environment and/or a result of execution of a behavior, and for managing emotions. A behavior evaluation section evaluates execution of behaviors in response to the external environment and/or the internal state.

Robot behavior control system, behavior control method, and robot device

Growing community of inventors

Saitama, Japan

Masahiro Fujita