Abstract: A moving object control apparatus in the present disclosure that adjusts a stop position of a moving object based on an instruction of a user, acquires instruction information of the user and acquires a captured image captured in a moving object. The apparatus determines a stop position of the moving object and controls traveling of the moving object to cause the moving object to travel toward the determined stop position. The apparatus (i) determines a first stop position using position information of a communication device used by the user or position information corresponding to a destination included in first instruction information of the user, and (ii) determines a second stop position based on second instruction information of the user and a region of a predetermined target identified in the captured image.

Abstract: A learning apparatus for performing machine learning includes an acquisition unit configured to acquire teaching data including input data and correct answer data, the input data including an input image that contains a reference object and an input text that relatively designates a target position by referring to the reference object; a generation unit configured to input the input data to a model to generate output data for specifying the target position, a reference position that is a position of the reference object, and a positional relationship of the target position with respect to the reference position; and an update unit configured to update a parameter of the model to reduce a loss obtained by inputting the output data and the correct answer data to a loss function.

Abstract: An information processing apparatus in embodiments performs at least one trained machine learning model that includes an encoder and a decoder. The encoder receives inputs of text information including designation of a place, a first image that is an image captured by an image capturing apparatus and that includes the place, and a second image obtained by dividing a region for every identical object in the first image, and outputs tri-modal features that have been generated to include visual features of the first image that has been captured, visual features of the second image obtained by dividing the region, and language features of the text information. The decoder outputs a region on the first image corresponding to the designation of the place in the text information, by using the tri-modal features.

Abstract: A control device includes a target position setting part, a trajectory estimation part, and a target position selector. The target position setting part determines a target position of an actor of a robot based on a form of an object located in an operating environment of the robot. The trajectory estimation part estimates a predicted trajectory of the actor based on motion of the actor up to the present, and estimates a trajectory of the actor from a current position to the target position as an approach trajectory using a predetermined function. The target position selector selects one target position based on a degree of similarity between the predicted trajectory and each of the approach trajectory.

Abstract: A system including an acquisition unit configured to acquire, from a user via a communication device associated with the user, target object data including a feature of a target object selected by the user, an analysis unit configured to analyze whether the target object data that has been acquired by the acquisition unit includes, as the feature, at least one of data of a proper noun or data of a character string related to the target object, and whether the target object data includes data of a color related to the target object, and an estimation unit configured to estimate a distance from the target object to the user, based on an analysis result of the analysis unit, wherein the estimation unit estimates the distance from the target object to the user such that the distance from the target object to the user in a case where the target object data includes at least one of the data of the proper noun or the data of the character string is shorter than the distance from the target object to the user in a ca

Abstract: A mobile object control device acquires a captured image obtained by capturing an image of surroundings of the mobile object by a camera mounted on a mobile object and an input directive sentence input by a user of the mobile object, inputs, when an image and a directive sentence are input, the captured image and the input directive sentence into a learned model learned to output one or more objects corresponding to the directive sentence in the image together with corresponding degrees of certainty to detect the one or more objects and the corresponding degrees of certainty, sequentially selects the one or more objects based on at least the degree of certainty and makes an inquiry to a user of the mobile object, and causes the mobile object to travel to an indicated position in the input directive sentence, which is specified based on a result of the inquiry.

Abstract: A robot remote operation control device includes, in robot remote operation control for an operator to remotely operate a robot capable of gripping an object, an information acquisition unit that acquires operator state information on a state of the operator who operates the robot, an intention estimation unit that estimates a motion intention of the operator who causes the robot to perform a motion, on the basis of the operator state information, and a gripping method determination unit that determines a gripping method for the object on the basis of the estimated motion intention of the operator.

Abstract: Provided is a mobile object control device including a storage medium storing a computer-readable command and a processor connected to the storage medium, the processor executing the computer-readable command to: acquire a photographed image, which is obtained by photographing surroundings of a mobile object by a camera mounted on the mobile object, and an input instruction sentence, which is input by a user of the mobile object; detect a stop position of the mobile object corresponding to the input instruction sentence in the photographed image by inputting at least the photographed image and the input instruction sentence into a trained model including a pre-trained visual-language model, the trained model being trained so as to receive input of at least an image and an instruction sentence to output a stop position of the mobile object corresponding to the instruction sentence in the image; and cause the mobile object to travel to the stop position.

Abstract: A system including an acquisition unit configured to acquire, from a user via a communication device associated with the user, target object data including a feature of a target object selected by the user, an analysis unit configured to analyze whether the target object data that has been acquired by the acquisition unit includes, as the feature, at least one of data of a proper noun or data of a character string related to the target object, and whether the target object data includes data of a color related to the target object, and an estimation unit configured to estimate a distance from the target object to the user, based on an analysis result of the analysis unit, wherein the estimation unit estimates the distance from the target object to the user such that the distance from the target object to the user in a case where the target object data includes at least one of the data of the proper noun or the data of the character string is shorter than the distance from the target object to the user in a ca

Abstract: An information processing apparatus of the present invention comprises acquires a captured image; detects a plurality of targets included in the captured image, and extracts a plurality of features for each of the detected plurality of targets; acquires an impurity for each extracted feature, the impurity indicating a degree to which a predetermined target is inseparable from among the plurality of targets in a case where a user is asked a question for presuming the predetermined target from among the plurality of targets based on each feature; and generates the question to reduce a number of questions for minimizing the impurity based on the extracted features and the impurity for each of the features.

Abstract: In a robot remote operation which recognizes a movement of an operator and transmits the movement of the operator to a robot to operate the robot, a robot remote operation control device includes: an information acquisition part, acquiring an environment sensor value acquired by an environment sensor provided in the robot or a surrounding environment of the robot and an operator sensor value, which is information indicating the movement of the operator that is detected; and an intention estimation part, estimating a motion of the operator, which is a motion instruction with respect to the robot, by using a trained model from the operator sensor value.

Abstract: An information processing apparatus capable of controlling a mobile object on the basis of an instruction by an utterance of a user identifies which scene a use scene of a target user is among a plurality of use scenes in a case where the mobile object is used, acquires utterance information of the target user, and selects a different machine learning model according to the identified use scene of the target user. The information processing apparatus estimates an intent of an utterance of the target user by using the selected machine learning model.

Abstract: A control device includes a target position setting part, a trajectory estimation part, and a target position selector. The target position setting part determines a target position of an actor of a robot based on a form of an object located in an operating environment of the robot. The trajectory estimation part estimates a predicted trajectory of the actor based on motion of the actor up to the present, and estimates a trajectory of the actor from a current position to the target position as an approach trajectory using a predetermined function. The target position selector selects one target position based on a degree of similarity between the predicted trajectory and each of the approach trajectory.

Abstract: A first mask layer (13) and a second mask layer (12) are transferred and imparted to a target object (20) using a fine-pattern-forming film (I) provided with a cover film (10) having a nanoscale concavo-convex structure (11) formed on one surface thereof, a second mask layer (12) provided in a recess of the concavo-convex structure (11), and a first mask layer (13) provided so as to cover the concavo-convex structure (11) and the second mask layer (12). A surface of a fine-pattern-forming film (II) to which the first mask layer (13) is provided is pressed toward a surface of the target object (20), energy rays are irradiated to the first mask layer (13), and the cover film (10) is then separated from the second mask layer (12) and the first mask layer (13). Pressing and energy ray irradiation are each performed independently. The target object is etched using the second mask layer (12) and the first mask layer (13).

Abstract: The present invention is directed to a method for diagnosing large intestinal cancer and/or polyp and a method for observing postoperative course or monitoring recurrence thereof, wherein each method includes detecting cystatin SN protein by use of an anti-cystatin SN antibody. The present invention is able to provide a kit for assaying cystatin SN, which can be used, in a simple manner, in a diagnosis performed prior to conventional barium enema examination and endoscopic examination which impose burdens on patients; as an indicator of metastasis and recurrence; and in the evaluation of therapeutic effects. The present invention provides a method for diagnosing or monitoring large intestinal cancer and/or polyp which can be performed in a simple manner, and thus can allow to design a new regimen rapidly.