Seiko Epson Corporation

Tohoku University

Konica Minolta, Inc.

National Taiwan University

Japan Science and Technology Agency

Koichi Hashimoto

Tomoki Harada

Takashi Nammoto

Shogo Arai

Kazuhiro Kosuge

Kengo Yamaguchi

Shingo Kagami

Daichi Suzuki

Yoshihiro Inagaki

Yoshiyuki Toso

Yukihiro Yamaguchi

Chyi-Yeu Lin

Takeshi Suzuki

Toshiki Boshu

Kenji Matsunaga

Hidechika Ito

Tomohiro Inoue

Chuantao Zang

Yasunobu Igarashi

Takeshi Obara

Yuki Deguchi

A three-dimensional shape measuring method includes: a first step to: project first and second projection images on a target object, wherein the first projection images include row-direction stripe patterns different from each other, and the second projection images include column-direction stripe patterns different from each other, and obtain first and second captured images of the target object, wherein the first captured images are captured while the first projection images are projected, and the second captured images are captured while the second projection images are projected; a second step to identify a corresponding projection pixel of the first and second projection images, wherein the corresponding projection pixel corresponds to each of captured pixels of the first and second captured images; and a third step to identify a 3D shape of the target object based on a result of the second step.

Three-dimensional shape measuring method and three-dimensional shape measuring apparatus

A robot includes: a hand; and a control unit that operates the hand, in which the control unit generates three-dimensional point group information for a partial image forming a captured image obtained by an imaging unit, and causes the hand to hold an object included in the partial image.

Robot, robot system, control device, and control method

Provided is a robot including a hand and a control unit that operates the hand. The control unit rotates a first object around a predetermined position of the first object with the hand and moves the first object with respect to a second object, based on a captured image including the hand and the first object.

For accurate housing of an object to be packed even in an unfixed box body, a packing apparatus includes a movable unit and a force detection part provided in the movable unit and houses an object to be packed in a box body formed from a packing material based on an output value of the force detection part.

Packing apparatus and packing method

A control apparatus includes a projection unit configured to project a first pattern onto an object; and a selection unit configured to select a single first pattern from a plurality of first patterns. After the projection unit projects each of the plurality of first patterns having different resolutions onto the object, the projection unit projects a second pattern onto the object, the second pattern having the same resolution as that of the selected single first pattern.

Control apparatus, robot, and control method

A control system includes a projection section that projects predetermined patterned light on a target object, a first imaging section that captures an image of the target object on which the predetermined patterned light is projected by the projection section, a second imaging section that is disposed in a position different from a position where the first imaging section is disposed and captures an image of the target object on which the predetermined patterned light is projected by the projection section, and a calculation section that calculates a three-dimensional shape of the target object based on a first point in a first captured image captured by the first imaging section and a second point in a second captured image captured by the second imaging section.

Control system, robot system, and control method

A robot includes a hand that grips an object and a control unit that operates the hand, the hand includes fingers that are able to grip the object at four or more contact points, and an object of which a metallic tone index is equal to or higher than 5 is gripped with the hand.

Robot

A performing method of a device capable of adjusting images according to a body motion of a user, the device comprising a display unit, at least one camera unit, and a control unit electrically coupled to the display unit and the camera unit, the performing method comprising: capturing at least one motion image of the user by the at least one camera unit; receiving the at least one motion image of the user by the control unit; and adjusting the display unit according to the least one motion image of the user by the control unit, whereby the images displayed by the display unit moving as does the user.

Performing method of device capable of adjusting images according to body motion of user

An inspecting apparatus includes an image pickup unit configured to pick up a plurality of images of an inspection target object with different exposure times and generate, image data of an inspection target object image including an inspection region, a weighted-image-data generating unit configured to weight, for each of the image data generated with the exposure times different from one another, data of pixels indicating a region where a difference in gradation of pixel values is relatively large among regions of pixels included in the image data and generate weighted image data, an image-data combining unit configured to generate combined image data obtained by combining the generated respective weighted image data, and a determining unit configured to determine a state of the inspection region on the basis of image data of a reference image set and the generated combined image data.

Inspecting apparatus, robot apparatus, inspecting method, and inspecting program

A robot apparatus includes a reference-model storing unit configured to store a reference model of an object, a feature-value-table storing unit configured to store a feature value table that associates position data and orientation data of the reference model and a feature value, a photographed-image acquiring unit configured to capture a photographed image of the object, a detecting unit configured to calculate a photographed image feature value from the photographed image, and a driving control unit configured to control a robot main body on the basis of the position data and the orientation data to change the position and the orientation of a gripping unit.

Robot apparatus and position and orientation detecting method

A microscope capable of controlling the position and fluorescent recording of an object under observation such as cells is provided with the fluorescent observation method using the microscope. The microscopecomprises: a stageon which the object under observationis placed; an illumination light sourcefor the object under observation; an excitation light sourcefor exciting fluorescent light F to the object under observation; an image information detecting partfor detecting the image information formed with the light T generated at the object under observation; a fluorescent image information detecting partfor detecting the fluorescent image information formed with fluorescent light F; and a control part, which determines the fluorescent observation area of the object under observationbased on the dynamic model of the object under observationand its image information entered from the image information detecting part, and then obtains the image information of the object under observationentered from the image information detecting partand the fluorescent image information entered from the fluorescent image information detecting partat specified interval within the fluorescent observation area.

Microscope and a fluorescent observation method using the same

A robot apparatus includes: an image pickup device; a goal-image storing unit that stores, according to sensitivity represented by an amount of change of a pixel value at the time when a target aligned with a goal position on an image at a pixel level is displaced by a displacement amount at a sub-pixel level, goal image data in a state in which the target is arranged; and a target detecting unit that calculates a coincident evaluation value of the target on the basis of comparison of image data including the target and the goal image data stored by the goal-image storing unit and detects positional deviation of the target with respect to the goal position on the basis of the coincidence evaluation value.

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Sendai, Japan

Koichi Hashimoto