Sony Corporation

Osamu Hanagata

Masahiro Fujita

Kotaro Sabe

Hiroaki Ogawa

Jun Yokono

Tomohiko Gotoh

Tsutomu Sawada

Tamaki Kojima

Makoto Inoue

Tsunayuki Ohwa

Gabriel Costa

Naohiro Fukumura

Kenta Kawamoto

Masaki Fukuchi

Takashi Yamamoto

Masato Ito

Atsushi Okubo

Seiichi Takamura

Tsuyoshi Takagi

Hirotaka Suzuki

Hideki Shimomura

Katsuhiro Takematsu

Rika Horinaka

Rika Hasegawa

Chao Xu

Fumihide Tanaka

Gregory Hornby

The present invention provides a robot apparatus that can perform appropriate actions in accordance with the ambient conditions, and a method of controlling the behavior of the robot apparatus. The robot apparatus includes a data-acquiring unit that acquires data, externally and/or internally, a subject-identifying unit that identifies a subject performing an action, by using the data externally acquired, a condition-recognizing unit that recognizes external conditions and/or internal conditions, by using the data externally acquired and/or the data internally acquired, an action-pattern acquiring unit that acquires an action pattern of the subject, by using the data externally acquired, a storage unit that stores action data representing the action of the subject, in association with condition data and subject identification data, the condition data representing conditions external and/or internal of the robot apparatus, and the subject identification data identifying the subject, and an action-performing unit that performs actions, wherein the action-performing unit performs an action represented by the action data stored in the storage unit, in accordance with the identification data and the external and/or internal condition data, when the subject-identifying unit identifies the subject.

Robot apparatus and method of controlling the behavior thereof

Disclosed herein is a content management apparatus, including: content inputting means for inputting a content with which position information is associated; position information acquisition means for acquiring the position information associated with the content inputted by the content inputting means; tree production means for producing binary tree structure data corresponding to a binary tree having leaves to which contents inputted by the content inputting means correspond based on the position information of the contents acquired by the position information acquisition means; and determination means for extracting a node which satisfies a predetermined condition from among nodes of the binary tree structure data produced by the tree production means and determining those of the contents which belong to the extracted node as one group.

Content management apparatus, image display apparatus, image pickup apparatus, processing method and program for causing computer to execute processing method

Systems and methods are disclosed for processing information. In one implementation, an image processing apparatus includes an acquisition unit that acquires two or more images to be grouped together. The images include time information as attribute information. The image processing apparatus groups the images based on whether the intervals among times represented by the time information are greater than at least one threshold value. The images are managed in the form of a binary tree structure and handled in single or different groups based on comparing a threshold value with the standard deviations of intervals among the times so as to match a user's subjective intention.

Information processing apparatus and method, and program used therewith

A robot apparatus in which the storage capacity necessary for holding motion data is diminished in representing the emotion by motions exploiting the body resources. In demonstrating component behaviors of the robot apparatus, the basic posture, as the posture at the start time of one or plural movements forming a component behavior, is changed to express the emotion. Specifically, the robot apparatus includes variations for expressing the emotion for the basic posture (basic posture for the emotion). The respective resources are actuated from the basic posture for the emotion and reversion is made again to the basic posture to demonstrate the emotion.

Robot apparatus and emotion representing method therefor

The present invention provides an information processing apparatus for clustering a plurality of pieces of data in clusters corresponding respectively to nodes on layers in a tree structure by assigning each of the pieces of data to a leaf node of the tree structure. The information processing apparatus includes: metadata acquisition means for acquiring metadata of the pieces of data; and tree-structure processing means for finding a first distance and a second distance on the basis of the metadata and adding a new node to the tree structure on the basis of the first and second distances as a node having an attention node, which is assigned to attention data placed at an attention-receiving position in an array of the pieces of data arranged on the basis of the metadata of the pieces of data, as a child node.

Information processing apparatus, information processing method, and information processing program

Sentences corresponding to internal statuses of a robot device or the like are created and uttered, thereby expressing the internal statuses. The robot device or the like comprise means for recognizing an external status, and means for generating an emotion based on the internals status, whereby a change in the emotion is reflected upon a dialogue. The internal status is not associated with a sentence, but it exists independently of the system and is always varied depending on various external inputs and internal changes of the system. Accordingly, even when the same question is made on the robot device or the like, the contents of a reply are changed depending on the internal status at that time, and a manner of providing a reply also differs depending on the internal status.

Robot device with changing dialogue and control method therefor and storage medium

A robot is proposed which has a speech recognition unit to detect information supplied simultaneously with or just before or after detection of a touch by a touch sensor, an associative memory/recall memory to store action made correspondingly to the touch and input information (speech signal) detected by the speech recognition unit in association with each other, and an action generator to control the robot to make action recalled by the associative memory/recall memory based on a newly acquired input information (speech signal). The robot has also a sensor data processor to allow the robot to act correspondingly to the touch detection by the touch sensor. Thus, the robot can learn action in association with an input signal such as speech signal.

Robot device, robot device action control method, external force detecting device and external force detecting method

A walking-type robot device and its learning method are disclosed, wherein the robot device is caused to perform walking that accords with the parameters for controlling the walking, the walking is evaluated, and the parameters are updated so that the very evaluation is enhanced. Besides, a walking-type robot device is provided with a controlling means for controlling the robot so as to cause it to perform walking that accords with parameters which prescribe the driving phase of each leg of the time of walking, an evaluating means for evaluating the velocity of the walking, and a parameter updating means for updating the parameters so that the evaluation of the walking by the evaluating means is enhanced.

Robot device and learning method of robot device

An identifying apparatus and method and a robot apparatus capable of reliably identifying other moving objects or other objects, a position detecting apparatus and method and a robot apparatus capable of accurately detecting the position of a moving object or itself within a region, and a color extracting apparatus capable of accurately extracting a desired color are difficult to be realized. Objects are provided with identifiers having different color patterns such that the color patterns are detected and identified through image processing. Also, the objects of interest are given color patterns different from each other, such that the position of the object can be detected by identifying the color pattern through image processing. Further, a plurality of wall surfaces having different colors are provided along the periphery of the region, such that the position of an object is detected on the basis of the colors of the wall surfaces through image processing. Further, a luminance level and color difference levels are sequentially detected for each of pixels to extract a color by determining whether or not the color difference levels are within a predetermined range.

Identifying apparatus and method, position detecting apparatus and method, robot apparatus and color extracting apparatus

Identifying apparatus and method, position detecting apparatus and

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Tokyo, Japan

Osamu Hanagata