Kabushiki Kaisha Toshiba

Toshiba Infrastructure Systems & Solutions Corporation

Ping Jiang

Akihito Ogawa

Seiji Tokura

Haruna Eto

Kazuma Komoda

Atsushi Sugahara

Yoshiyuki Ishihara

Junichiro Ooga

Junji Oaki

Nobukatsu Sugiyama

Haifeng Han

A handling apparatus includes a controller and a picking tool for a target object. The controller calculates surface information about a target object by using a first learning model for estimating the surface information from a feature map. The feature map represents a feature of an input image including the target object. The controller identifies surfaces in the input image from the surface information, and transforms the input image into projection images, each being seen from above a point on each of the surfaces in a normal vector direction. The controller calculates, for each projection image, a grasp posture for gripping the target object by using a second learning model. The controller transforms the grasp posture into a grasp posture in a first coordinate system. The controller calculates a final posture of the picking tool by projecting the grasp posture in the first coordinate system onto the input image.

Handling apparatus, handling method, and recording medium

According to one embodiment, a handling device includes: a holding part that includes two or more supporting parts and is capable of holding an object by gripping the object with the two or more supporting parts; a calculation part configured to calculate a safety factor indicating safety of a state of the holding part holding the object; and a controller configured to cause the holding part to hold the object according to the safety factor.

Handling device and control device

A handling device according to an embodiment has a holder, a calculator, and a controller. The holder is capable of holding an object. The calculator calculates an estimated holding safety factor when the holder holds an object. The controller causes the holder to hold the object on the basis of the estimated holding safety factor calculated by the calculator.

Handling device, control device, and computer program product

A handling device according to an embodiment includes a manipulator, a normal grid generation unit, a hand kernel generation unit, a calculation unit, and a control unit. The normal grid generation unit converts a depth image into a point cloud, generates spatial data including an object to be grasped that is divided into a plurality of grids from the point cloud, and calculates a normal vector of the point cloud included in the grid using spherical coordinates. The hand kernel generation unit generates a hand kernel of each suction pad. The calculation unit calculates ease of grasping the object to be grasped by a plurality of suction pads based on a 3D convolution calculation using a grid including the spatial data and the hand kernel. The control unit controls a grasping operation of the manipulator based on the ease of grasping the object to be grasped by the plurality of suction pads.

Handling device and computer program product

An object manipulation apparatus according to an embodiment of the present disclosure includes a memory and a hardware processor coupled to the memory. The hardware processor is configured to: calculate, based on an image in which one or more objects to be grasped are contained, an evaluation value of a first behavior manner of grasping the one or more objects; generate information representing a second behavior manner based on the image and a plurality of evaluation values of the first behavior manner; and control actuation of grasping the object to be grasped in accordance with the information being generated.

Object manipulation apparatus, handling method, and program product

A handling apparatus has an arm having a joint; a holding portion attached to the arm and configured to hold an object; a sensor configured to detect a plurality of the objects; and a control apparatus configured to control the arm and the holding portion, wherein the control apparatus is configured to calculate an ease of holding the object by the holding portion as a score based on information acquired by the sensor with respect to each object and each holding method, select the object to hold and the holding method according to the score, and calculate a position for holding the selected object and an orientation of the arm.

Handling apparatus, control apparatus, and recording medium

A handling device according to an embodiment has an arm, a holder, a storage, and a controller. The arm includes at least one joint. The holder is attached to the arm and is configured to hold an object. The storage stores a function map including at least one of information about holdable positions of the holder and information about possible postures of the holder. The detector is configured to detect information about the object. The controller is configured to generate holdable candidate points on the basis of the information detected by the detector, to search the function map for a position in an environment in which the object is present, the position being associated with the generated holdable candidate points, and to determine a holding posture of the holder on the basis of the searched position. The function map associates a manipulability with each position in the environment in which the object is present. The manipulability is a parameter calculated from at least one joint angle of the holder.

Handling device, control device, and holding 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.

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Ota, Japan

Ping Jiang