Substantially as described and illustrated herein including devices, methods of operation for the systems or devices, articles of manufacture including processor-executable instructions, and a system including a robot.

When one of the objects placed on a placement board is sucked and held by a suction nozzle and is taken out by an actuator under the control of an operation controller, a first acquirer acquires a difference M between a first moment M1 applied to the suction nozzle and a second moment M2 applied to the suction nozzle when the object is taken out by the suction nozzle by a first taking-out movement distance. The operation controller performs control, based on the acquired difference between the moments, whether the taking-out operation is to be further continued.

A method is provided that includes controlling a robotic gripping device to cause a plurality of digits of the robotic gripping device to move towards each other in an attempt to grasp an object. The method also includes receiving, from at least one non-contact sensor on the robotic gripping device, first sensor data indicative of a region between the plurality of digits of the robotic gripping device. The method further includes receiving, from the at least one non-contact sensor on the robotic gripping device, second sensor data indicative of the region between the plurality of digits of the robotic gripping device, where the second sensor data is based on a different sensing modality than the first sensor data. The method additionally includes determining, using an object-in-hand classifier that takes as input the first sensor data and the second sensor data, a result of the attempt to grasp the object.

A system and method of determining a grasp type of an end-effector of a robot when interacting with an item wherein a plurality of velocity values of the end-effector at various positions of its movement are collected and used to determine the grasp type when a given velocity value is below a predetermined threshold.

A set of one or more potentially graspable features for one or more objects present in a workspace area are determined based on visual data received from a plurality of cameras. For each of at least a subset of the one or more potentially graspable features one or more corresponding grasp strategies are determined to grasp the feature with a robotic arm and end effector. A score associated with a probability of a successful grasp of a corresponding feature is determined with respect to each of a least a subset of said grasp strategies. A first feature of the one or more potentially graspable features is selected to be grasped using a selected grasp strategy based at least in part on a corresponding score associated with the selected grasp strategy with respect to the first feature. The robotic arm and the end effector are controlled to attempt to grasp the first feature using the selected grasp strategy.

A control method of a manipulator is provided. The method includes photographing a target using a camera and detected the target using the photographed data. A holding motion for the target is set based on the detected target and a robot is operated to hold the target based on the set holding motion.

A method is provided that includes controlling a robotic gripping device to cause a plurality of digits of the robotic gripping device to move towards each other in an attempt to grasp an object. The method also includes receiving, from at least one non-contact sensor on the robotic gripping device, first sensor data indicative of a region between the plurality of digits of the robotic gripping device. The method further includes receiving, from the at least one non-contact sensor on the robotic gripping device, second sensor data indicative of the region between the plurality of digits of the robotic gripping device, where the second sensor data is based on a different sensing modality than the first sensor data. The method additionally includes determining, using an object-in-hand classifier that takes as input the first sensor data and the second sensor data, a result of the attempt to grasp the object.

A transport device according to an embodiment includes a holder, a driver, a force sensor, a first acquirer, and a controller. The holder holds cargo. The driver, which is a driver connected to the holder, moves the holder. The force sensor, provided in the vicinity of a connection location where the holder and the driver are connected to each other, detects a force applied to the vicinity of the connection location. The first acquirer acquires holding information indicating a holding state of the holder holding the cargo. The controller transports the cargo to the driver in a case where it is determined that the driver is caused to transport the cargo, on the basis of holding information indicating a holding state of the holder which is acquired by the first acquirer and detection results of the force sensor.

A robotic gripping device is provided. The robotic gripping device includes a palm and a plurality of digits coupled to the palm. The robotic gripping device also includes a time-of-flight sensor arranged on the palm such that the time-of-flight sensor is configured to generate time-of-flight distance data in a direction between the plurality of digits. The robotic gripping device additionally includes an infrared camera, including an infrared illumination source, where the infrared camera is arranged on the palm such that the infrared camera is configured to generate grayscale image data in the direction between the plurality of digits.

A substrate transfer robot, first and second sensors are provided in a hand such that a planar-view intersection point of optical axes is located on a center of a substrate when the hand holds the substrate in planar view, and a control device operates an arm, scans a target placed at a teaching position with the first and second sensors, and acquires the teaching position when the target is located at the planar-view intersection point of the optical axes.