Abstract: An HMD includes a first display element, a holder configured to hold the first display element, a first projection optical system configured to project an image formed on the first display element, and a barrel which is a case configured to house the first projection optical system in a positioned state, the holder includes a support frame that supports the first display element and a base plate coupled to an upper portion of the support frame and extending in a direction intersecting the support frame, and an end portion of the support frame is inserted into the barrel through an insertion opening formed at the barrel, and the base plate is fixed to the barrel while covering the insertion opening.

Abstract: An objective is to provide a vinylidene fluoride polymer composition that is difficult to swell and dissolve in N-methyl-2-pyrrolidone and can form an electrode with a smooth surface. The vinylidene fluoride polymer composition contains a vinylidene fluoride polymer with a melting point of 130° C. or higher. When the vinylidene fluoride polymer composition and N-methyl-2-pyrrolidone are mixed to prepare a vinylidene fluoride polymer dispersion with a content of the vinylidene fluoride polymer of 6 mass %, a ratio of a viscosity of the vinylidene fluoride polymer dispersion at 30° C. to a viscosity of N-methyl-2-pyrrolidone at 30° C. is 20 or less, and when the vinylidene fluoride polymer dispersion is stirred and then allowed to stand for 15 minutes, a rate of change in content of the vinylidene fluoride polymer in an upper 40 volume % area of the vinylidene fluoride polymer dispersion before and after the standing is 2 mass % or less.

Abstract: A robot including a manipulator includes: an image-pickup acquisition unit configured to acquire an image of an environmental space including a target object to be grasped; and a control unit configured to control a motion performed by the robot, in which the control unit causes the robot to acquire, by the image-pickup acquisition unit, a plurality of information pieces of the target object to be grasped while it moves the robot so that the robot approaches the target object to be grasped, calculates, for each of the information pieces, a grasping position of the target object to be grasped and an index of certainty of the grasping position by using a learned model, and attempts to grasp, by moving the manipulator, the target object to be grasped at a grasping position selected based on a result of the calculation.

Abstract: Provided is an information processing apparatus, that includes a light emission control unit that turns on IR LEDs (light emission units) included in electronic pens (operation bodies) in which communication with the information processing apparatus is established and blinks the IR LEDs included in the electronic pens at timings different from each other in a case where another electronic pen approaches. Then, a light emission recognition unit detection unit detects a position according to the IR LED included in each of the electronic pens in association with the electronic pen. An input/output control unit (display control unit) displays information associated with the electronic pen at a position corresponding to the IR LED detected by the light emission recognition unit in a case where the electronic pen is in an information input state.

Abstract: A machine learning method according to this embodiment trains a recognizer using a composite image, acquires a labeled real image based on an image captured by a sensor, stores, when at least one of the results of the recognition when the labeled real image is input to the recognizer match the label, results of the recognition performed by the recognizer, performs machine learning using a data set group including a plurality of the data sets, a real image and a composite image forming a pair in each of the data sets, thereby generating an image transformer, generating a labeled real image as a result of the image transformer transforming the composite image into the real image, and trains the recognizer based on the labeled real image.

Abstract: A robot arm assembly for detecting a pose and force associated with an object is provided. The robot arm assembly includes an end effector having a plurality of fingers, and a deformable sensor provided on each finger. The deformable sensor includes a housing, a deformable membrane coupled to the housing, an enclosure filled with a medium, and an internal sensor disposed within the housing having a field of view directed through the medium and toward an internal surface of the deformable membrane. A processor is configured to receive an output from each internal sensor, the output including a contact region of the deformable membrane as a result of contact with the object. The processor determines an amount of displacement of the contact region based on the output from each internal sensor, and determines the pose and the force associated with the object based on the amount of displacement.

Abstract: A system, a method, and a program for generating a three-dimensional model are provided. A system for generating a three-dimensional model according to an embodiment includes an end effector including a flexible grip part for gripping an object, a deformation sensor configured to detect a deformed shape of the grip part in a state of gripping the object, a calculation unit configured to calculate a normal direction of a surface of the object from surface shape data of the object, a decision unit configured to decide a grip position of the object to be gripped by the end effector based on the normal direction, and a coordinate system setting unit configured to set a reference coordinate system according to the deformed shape of the grip part.

Abstract: A method, a system, and a program for generating a three-dimensional model are provided. A method according to an embodiment for generating a three-dimensional model includes (1) deriving an initial reference coordinate system based on measurement data indicating a three-dimensional shape of an object (2) selecting an axis of the initial reference coordinate system (3) determining whether or not there is rotational symmetry about the axis (4) determining whether or not there is rotational symmetry with an angular period about the axis (5) when there is the rotational symmetry with the angular period, correcting a reference coordinate system (6) when there is no rotational symmetry, determining plane symmetry about the axis (7) when there is the plane symmetry, correcting the reference coordinate system and (8) performing processing of (3)-(7) for each of three axes of the initial reference coordinate system.

Abstract: A robot including a manipulator includes: an image-pickup acquisition unit configured to acquire an image of an environmental space including a target object to be grasped; and a control unit configured to control a motion performed by the robot, in which the control unit causes the robot to acquire, by the image-pickup acquisition unit, a plurality of information pieces of the target object to be grasped while it moves the robot so that the robot approaches the target object to be grasped, calculates, for each of the information pieces, a grasping position of the target object to be grasped and an index of certainty of the grasping position by using a learned model, and attempts to grasp, by moving the manipulator, the target object to be grasped at a grasping position selected based on a result of the calculation.

Abstract: The image processing apparatus for performing display restriction processing on a captured image captured by a moving robot includes: a task acquisition unit configured to acquire information that corresponds to a property of a task to be executed via the remote operation performed on the moving robot; a target object identification unit configured to identify target objects in the captured image; a restricted target object specification unit configured to specify a target object for which a display restriction is required among the target objects identified in the target object identification unit in accordance with the property of the task to be executed by the moving robot based on the above information; and a display restriction processing unit configured to perform the display restriction processing on a restricted area in the captured image that corresponds to the target object for which display restriction is required.

Abstract: [Problem] An information processing apparatus, an information processing method, and a recording medium with which a user can recognize a boundary of a drivable range by feedback for a projection specification position by the user to facilitate determination of and search for a projection position are provided. [Solution] The information processing apparatus includes a controller configured to perform processing of outputting feedback indicating an effect corresponding to a boundary of a drivable region of a drive-type projector in a projection environment space in accordance with a state of a projection specification position specified by a user for the drivable region, the state being determined based on the drivable region and the projection specification position.

Abstract: [Object] Provided is an information processing apparatus that is able to provide consistent image quality even if a distance from a display apparatus varies within a projection region. [Solving Means] The information processing apparatus according to an embodiment of the present disclosure includes a transformation matrix calculation section, a scale calculation section, and an input display generation section. The transformation matrix calculation section calculates a transformation matrix that converts the coordinates of an input position of an input device within a projection region projected from a display apparatus from the coordinates of an image coordinate system of a sensor apparatus having detected the input position to the coordinates of a screen coordinate system of the display apparatus.

Abstract: Systems and methods for determining a location of a robot are provided. A method includes receiving, by a processor, a signal from a deformable sensor including data with respect to a deformation region in a deformable membrane of the deformable sensor resulting from contact with a first object. The data associated with contact with the first object is compared, by the processor, to details associated with contact with the first object to information associated with a plurality of objects stored in a database. The first object is identified, by the processor, as a first identified object of the plurality of objects stored in the database. The first identified object is an object of the plurality of objects stored in the database that is most similar to the first object. The location of the robot is determined, by the processor, based on a location of the first identified object.

Abstract: A robot arm assembly for detecting a pose and force associated with an object is provided. The robot arm assembly includes an end effector having a plurality of fingers, and a deformable sensor provided on each finger. The deformable sensor includes a housing, a deformable membrane coupled to the housing, an enclosure filled with a medium, and an internal sensor disposed within the housing having a field of view directed through the medium and toward an internal surface of the deformable membrane. A processor is configured to receive an output from each internal sensor, the output including a contact region of the deformable membrane as a result of contact with the object. The processor determines an amount of displacement of the contact region based on the output from each internal sensor, and determines the pose and the force associated with the object based on the amount of displacement.

Abstract: A resist composition containing a base material component (A) of which solubility in a developing solution is changed due to an action of an acid and a compound represented by Formula (bd1); in the formula, Rbd1 to Rbd3 each independently represent an aryl group which may have a substituent, provided that at least two of Rbd1 to Rbd3 are aryl groups having one or more fluorine atoms as substituents, and at least one of the fluorine atoms of the aryl group is bonded to a carbon atom adjacent to a carbon atom that is bonded to the sulfur atom in the formula, and the total number of the fluorine atoms is 4 or more; X? represents a counter anion.

Abstract: A calibration system includes: a first calibration tool; a second calibration tool that is installed so as to be able to specify a relative position thereof with respect to the first calibration tool, the type of the second calibration tool being different from that of the first calibration tool; a first calibration target apparatus configured to be able to detect the first calibration tool; a second calibration target apparatus configured to be able to detect the second calibration tool; and an arithmetic processing apparatus configured to calculate the relative position of the second calibration target apparatus with respect to the first calibration target apparatus based on the result of detecting the first calibration tool by the first calibration target apparatus and the result of detecting the second calibration tool by the second calibration target apparatus.

Abstract: A prediction calculation unit calculates a predicted position from a trajectory of a tracking target. A drive calculation unit calculates an imaging direction of an imaging unit that images the tracking target, the imaging direction in which the predicted position is included in an angle of view of the imaging unit when the predicted position calculated by the prediction calculation unit deviates from the angle of view. Therefore, for example, the number of movements can be reduced as compared with the case where the imaging direction always follows the tracking target so that the tracking target is at the center of the angle of view, and the tracking operation can be performed efficiently. Further, when the predicted position is within the angle of view, the imaging direction of the imaging device is fixed even if the position of the tracking target moves, so that the position of the tracking target can be detected with high accuracy.

Abstract: A robot arm assembly for detecting a pose and force associated with an object is provided. The robot arm assembly includes an end effector having a plurality of fingers, and a deformable sensor provided on each finger. The deformable sensor includes a housing, a deformable membrane coupled to the housing, an enclosure filled with a medium, and an internal sensor disposed within the housing having a field of view directed through the medium and toward an internal surface of the deformable membrane. A processor is configured to receive an output from each internal sensor, the output including a contact region of the deformable membrane as a result of contact with the object. The processor determines an amount of displacement of the contact region based on the output from each internal sensor, and determines the pose and the force associated with the object based on the amount of displacement.

Abstract: Systems and methods for determining a location of a robot are provided. A method includes receiving, by a processor, a signal from a deformable sensor including data with respect to a deformation region in a deformable membrane of the deformable sensor resulting from contact with a first object. The data associated with contact with the first object is compared, by the processor, to details associated with contact with the first object to information associated with a plurality of objects stored in a database. The first object is identified, by the processor, as a first identified object of the plurality of objects stored in the database. The first identified object is an object of the plurality of objects stored in the database that is most similar to the first object. The location of the robot is determined, by the processor, based on a location of the first identified object.

Abstract: In an information processing apparatus (10a), a light emission control unit (34a) turns on IR LEDs (13) (light emission units) included in electronic pens (12) (operation bodies) in which communication with the information processing apparatus (10a) is established and blinks the IR LEDs (13) included in the electronic pens at timings different from each other in a case where another electronic pen (12) approaches. Then, a light emission recognition unit (32) (detection unit) detects a position according to the IR LED (13) included in each of the electronic pens (12) in association with the electronic pen (12). An input/output control unit (36) (display control unit) displays information associated with the electronic pen (12) at a position corresponding to the IR LED (13) detected by the light emission recognition unit in a case where the electronic pen (12) is in an information input state.