Kabushiki Kaisha Toshiba

Advanced Mask Inspection Technology Inc.

Toshiba Infrastructure Systems & Solutions Corporation

Junji Oaki

Hideki Ogawa

Shinji Sugihara

Junichiro Ooga

Nobukatsu Sugiyama

Yoshiyuki Ishihara

Akihito Ogawa

Toru Tojo

Ikunao Isomura

Fumio Ozaki

Yuichi Nakatani

Junichiro Oga

Hiroshi Ohno

Daisuke Yamamoto

Junya Tanaka

Hideaki Okano

Takafumi Sonoura

Hirokazu Sato

Yutaka Iino

Junichi Inoue

Hiroya Kano

Haruhiko Horiuchi

Hideaki Hashimoto

Rie Katsuki

Seiji Tokura

Takashi Shigemasa

Takahiro Kamikawa

Ping Jiang

Kohei Nara

Nobuto Matsuhira

Keisuke Kamata

Tetsuya Masuda

Shuichi Adachi

Hiroshi Ohtsu

Kazuhide Sawa

Nobuyuki Harabe

Takafumi Ushiyama

Junichiro Ohga

In an embodiment, a processing device relating to an inspection of an inspection object by a photography unit is provided. A processor of the processing device calculates a plurality of photography points as positions photographing the inspection object based on shape data in which a shape of a surface of the inspection object is indicated by a point group, and information relating to a position and a normal vector on the surface of the inspection object is defined by the point group. The processor executes analysis regarding a path that passes through all of the calculated photography points and minimizes a sum of a movement cost from each of the photography points to a photography point of a next movement destination, and calculates a path corresponding to an analysis result as a path for moving the photography unit.

Processing device relating to inspection of inspection object, inspection system of inspection object, processing method relating to inspection of inspection object, and non-transitory storage medium

A picking apparatus in an embodiment includes: a gripper, an arm, a detector, and a control unit. The gripper picks and grips an object to be conveyed. The arm moves the gripper and causes the gripper to convey the object to be conveyed. The detector is attached to the arm and senses a force applied to the gripper. The control unit controls an operation of the gripper and the arm. The control unit includes a calculator and a subtractor. The calculator calculates a gravitational force and an inertial force applied to the gripper when the gripper grips and moves the object to be conveyed using an arithmetic expression including a coefficient determined in accordance with a mass of the object to be conveyed. The subtractor subtracts the gravitational force and the inertial force calculated by the calculator from a force applied to the gripper sensed by the detector.

Picking apparatus, control apparatus, and program

According to an embodiment, an article posture changing device includes: a first end effector configured to grasp a projected tag of an article by adsorption; an arm unit configured to support the first end effector and move the first end effector along at least a vertical direction; and a controller configured to control the arm unit and the first end effector to grasp the tag, lift the article upward, separate the article from a placement surface, change an angle of the article by weight thereof, move the article downward, place the article on the placement surface, and release the grasp of the tag.

Article posture changing device and article posture changing method

An operating system according to an embodiment includes a target surface detection unit, a position calculation unit, a direction calculation unit, and a movement control unit. The target surface detection unit detects a target surface of a target object from a depth image obtained by a depth sensor. The position calculation unit calculates a first position for the detected target surface. The direction calculation unit calculates a first direction for the detected target surface. The movement control unit controls an actuator so as to reduce a positional deviation between a second position fixed with respect to the movable member and the first position and to reduce a directional deviation between a second direction fixed with respect to the movable member and the first direction.

Operating system, control device, and computer program product

A manipulator system according to an embodiment includes a manipulator, an actuator, and a control device. The actuator is configured to operate the manipulator. The control device is configured to control the actuator so that the manipulator moves while avoiding an obstacle. The control device controls the actuator so that an angle between a moving velocity vector of a first target point on the manipulator and a normal vector at a second target point on a surface of the obstacle is within 90&#xb0;.

Manipulator system, control device, control method, and computer program product

A robot control device includes a log acquisitor, a first adjuster, and a second adjuster. The log acquisitor is configured to acquire operation data of a robot arm which has been operated by making a target portion of the robot arm follow a predefined target path under a feedback control. The first adjuster is configured to adjust, based on the operation data acquired by the log acquisitor, a first physical parameter for calculating a trajectory of the target portion, to reduce errors between the predefined target path and positions of the target portion. The second adjuster is configured to calculate, based on the first physical parameter adjusted by the first adjuster, the trajectory of the target portion, the second adjuster that is configured to adjust, based on the trajectory calculated by the second adjuster, a second physical parameter to be used for a feed-forward control for controlling the robot arm.

Robot control device, robot control parameter adjustment method, and non-transitory storage medium storing program

According to an embodiment, an actuation system includes a movable member, an actuator, at least one image taking unit, a coordinate conversion unit and a first actuation control unit. The actuator moves the movable member. The coordinate conversion unit performs coordinate conversion from an image-taking coordinate system of a taken image taken by the image taking unit to an arithmetic coordinate system for performing comparison. The first actuation control unit controls the actuator to reduce a deviation according to visual servo in the arithmetic coordinate system.

Actuation system and computer program product utilizing visual servo control based on images from multiple cameras

According to one embodiment, a robot control device is used for a robot arm including a link and a motor for rotationally driving the link. The robot control device includes a derivation part. The derivation part derives a first estimated value including a variation of a rotation angle of the link and a second estimated value including a variation of a rotation angle of the motor, based on an angular velocity and a current reference value of the motor. Furthermore, the derivation part derives an external force generated to the robot arm, based on a difference between the first estimated value and the second estimated value.

Robot control device, a robot control method, and a picking device

According to one embodiment, a robotic control apparatus includes a physical parameter switching unit, an observer unit, and a state feedback unit. The physical parameter switching unit switches a physical parameter set in accordance with a value of a mass of an end effector load of a robotic arm. The observer unit estimates an angular velocity of a link based on a simulation model of a motor angular velocity control system which undergoes gain proportional-integral control equivalent to a proportional-integral control of the angular velocity control system. The state feedback unit calculates an axial torsional angular velocity based on a difference between the angular velocity of the motor, and the angular velocity of the link, and feed the calculated axial torsional angular velocity back to the angular velocity control system.

Robotic control apparatus

A robot control device according to an embodiment includes: an observer receiving the angular velocity of the motor and the current command value, and estimating an angular acceleration of the link, and angular velocities of the link and the motor from a simulation model of an angular velocity control system of the motor; a first feedback unit calculating an axis torsion angular velocity from a difference between the angular velocities of the link and the motor estimated by the observer, and giving feedback to the angular velocity control system; a second feedback unit feeding back the angular acceleration of the link estimated by the observer to the angular velocity control system; and a first feedback constant calculating unit compensating an end effector load mass and increases inertia at the second feedback unit when an end effector load in the nonlinear dynamic model has low inertia.

Robot control device

A robot control apparatus includes an actuator; a generator unit; a first detection unit; a first computation unit to compute current positional data of the arm; a second computation unit to compute an input value; a third computation unit to compute an estimation value of a driving torque for driving the actuator; a fourth computation unit to compute a difference between the estimation value of the driving torque and a true value of the driving torque; and a second detection unit to detect a disturbance applied to the arm, wherein the second detection unit includes an update unit to estimate a parameter of a time-series model and updating the time-series model of the first sampling period by applying the parameter, and a determination unit to determine whether a disturbance occurs, by comparing the time-series model of the first sampling period with a time-series model of a second sampling period.

Robot control apparatus, disturbance determination method, and actuator control method

A mobile robot includes: a main body; a drive unit that moves the main body; a contact force detecting unit that detects a contact force acting against an obstacle; and a controller that controls the drive unit to move the main body toward a target object under a condition that the contact force detected by the contact force detecting unit is in a predetermined range.

Mobile robot and method for controlling mobile robot

A robot control apparatus includes: a joint angular velocity estimation unit () calculating a plurality of first joint angular accelerations in already executed control cycles by calculating a joint angular acceleration from a joint angle for each control cycle, and estimating a joint angular velocity in a still unexecuted control cycle from the first joint angular accelerations; a velocity determination unit () determining whether the estimated joint angular velocity exceeds a maximum velocity; and a suppression velocity calculation unit () calculating a suppression joint angular velocity in the still unexecuted control cycle from the estimated joint angular velocity.

Robot control apparatus

A robot control apparatus according to an embodiment includes: a joint angle difference calculator calculating a joint angle difference; a torque command value calculator calculating a torque command value for a joint, based on the joint angle difference; an external torque calculator calculating an external torque that is a difference between the estimated drive torque and the torque command value, and determining an external force receiving joint shaft on which an external force from the external torque acts; a compliance model storage unit storing a compliance model at the external force receiving joint shaft; a compliance correction amount calculator calculating a compliance correction amount for a task coordinate system position at the external force receiving joint shaft in accordance with the external force; and a joint angle difference correction amount calculator calculating a joint angle difference correction amount from the compliance correction amount and the partial Jacobian matrix.

In an embodiment of the present invention, with the purpose of more accurately calculating a disturbance torque generated by an external force acting on a robot, friction parameters contained in algorithms, such as a friction coefficient and a dead-zone threshold value, are dynamically changed based on the mode of operation, the operation speed, and the like. In this manner, a drive torque is estimated with high accuracy.

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Kawasaki, Japan

Junji Oaki