According to an embodiment, there is provided a handling system capable of handling a plurality of objects, the handling system including: a movable arm, a holder, a sensor, and a controller. The holder is attached to the movable arm and is capable of holding the object. The sensor is capable of detecting the object. The controller controls the movable arm and the holder. The controller determines whether or not to change an arrangement of the object before the object is held, on the basis of information acquired from the sensor. In a case where it is determined to change the arrangement of the object, the controller evaluates effectiveness of an arrangement change operation for each object, and decides on an arrangement change operation on the basis of an evaluation result.

An object appearance detection system with posture detection and a control method thereof are provided. A controlling and computing device uses a first sensor and a second sensor to control a conveying production line, and controls a robotic arm to move an object to be detected to a posture detection position and a surface detection position. When the object to be detected is in the posture detection position, the controlling and computing device receives a posture detection image to perform posture detection on the object to be detected. When the object to be detected is in the surface detection position, the controlling and computing device controls the robotic arm to adjust the posture of the object to be detected according to the posture detection result and receives images from a remote imaging device and photographing devices to perform surface defect detection on the object to be detected.

A robotic device includes an end effector device, a first sensor, and a controller. The end effector device includes two fingers for gripping a workpiece. The first sensor detects a pressure distribution on a gripping position on the workpiece by the two fingers. The controller performs, based on a temporal variation in the pressure distribution when the workpiece is lifted, posture control including rotation of the end effector device.

The present disclosure relates to a material handling system for manipulating items. The material handling system includes a repositioning system comprising a robotic tool which includes a robotic arm portion and an end effector. The robotic tool is configured to manipulate an item in a first orientation and reorient the item to a second orientation. The material handling system further includes a vision system having one or more sensors positioned within the material handling system. The vision system is configured to generate inputs corresponding to the characteristics of the items. The material handling system may further include a controller executing instructions to cause the material handling system to identify the item in the first orientation, based on the one or more characteristics of the item, initiate, by the repositioning system, picking of the item in the first orientation, and re-orient the item in the second orientation.

Disclosed is a robot and a method for controlling a robot. The robot according to an embodiment of the present disclosure may include an end-effector configured to grip a tool, a tactile sensor disposed in the end-effector, the tactile sensor configured to generate tactile information about an identifier formed on the tool, and a processor configured to cause the end-effector to grip the tool, and determine at least one of a type or a posture of the tool gripped by the end-effector based on the tactile information received from the tactile sensor. Embodiments of the present disclosure may be implemented by executing an artificial intelligence algorithm and/or machine learning algorithm in a 5G environment connected for the Internet of Things.

Article takeout apparatus and article takeout method capable of eliminating unnecessary measurements. The article takeout apparatus includes a sensor, a position/posture detector to detect a position/posture of an article in a working area, a robot configured to take out the article, a data storage to store evaluation data to evaluate a plurality of sensor measurement positions corresponding to respective positions at which the sensor measures a plurality of measurement areas, a data update section to update the evaluation data after the measurement area is measured by the sensor and after the article is taken out by the robot, an evaluation value calculator to calculate a comprehensive evaluation value of the working area on the basis of the updated evaluation data, and a sensor position selector to select a next sensor measurement position from among the plurality of sensor measurement positions on the basis of the calculated comprehensive evaluation value.

An object appearance detection system with posture detection and a control method thereof are provided. A controlling and computing device uses a first sensor and a second sensor to control a conveying production line, and controls a robotic arm to move an object to be detected to a posture detection position and a surface detection position. When the object to be detected is in the posture detection position, the controlling and computing device receives a posture detection image to perform posture detection on the object to be detected. When the object to be detected is in the surface detection position, the controlling and computing device controls the robotic arm to adjust the posture of the object to be detected according to the posture detection result and receives images from a remote imaging device and photographing devices to perform surface defect detection on the object to be detected.

According to one embodiment, a transporter includes a holder, a moving mechanism, a sensor, an operation controller, and a parameter estimator. The holder is configured to hold an object. The moving mechanism is configured to move the holder. The sensor is provided at the holder or the moving mechanism. The operation controller is configured to execute a test operation of moving the holder in a state in which the object is held by the holder. The parameter estimator is configured to estimate at least one parameter relating to the object based on a result of detection acquired by the sensor during the test operation.

A picking robot of an embodiment includes an acquisition unit, first and second calculation units, a control unit, and a grip unit. The acquisition unit acquires first area information. The first calculation unit calculates first position/posture information indicating a position/posture of a target object from the first area information. The second calculation unit calculates second position/posture information differing from the first position/posture information. The control unit grips the target object, based on the first position/posture information, controls a first operation of moving the target object to a second area. When a first operation result is inadequate, the control unit controls a second operation of arranging the target object at a position indicated by the second position/posture information in a posture indicated by the second position/posture information. The grip unit grips the target object and moves the gripped target object, based on the control by the control unit.

Disclosed is a robot and a method for controlling a robot. The robot according to an embodiment of the present disclosure may include an end-effector configured to grip a tool, a tactile sensor disposed in the end-effector, the tactile sensor configured to generate tactile information about an identifier formed on the tool, and a processor configured to cause the end-effector to grip the tool, and determine at least one of a type or a posture of the tool gripped by the end-effector based on the tactile information received from the tactile sensor. Embodiments of the present disclosure may be implemented by executing an artificial intelligence algorithm and/or machine learning algorithm in a 5G environment connected for the Internet of Things.