A robot and a robot-based material box detection method, the robot including: a main control processing unit, a picking up and placing assembly, and a detection assembly arranged on the picking up and placing assembly; the detection assembly is configured to align with a storage position to be detected along a detection direction to collect data and send the same to the main control processing unit; and the main control processing unit is configured to determine a material box storage state in the storage position to be detected based on a data collection result, so as to control the picking up and placing assembly to pick up and place the material box.

The present disclosure relates to verifying an initial object estimation of an object. A two-dimensional (2D) image representative of an environment including one or more objects may be obtained. The 2D image may be inspected to detect edges of an object. The edges may be processed to verify or update an initial object estimation to increase the accuracy of an object detection result.

Robotic carton loader or unloader incorporates three-dimensional (3D) and two-dimensional (2D) sensors to detect respectively a 3D point cloud and a 2D image of a carton pile within transportation carrier such as a truck trailer or shipping container. Edge detection is performed using the 3D point cloud, discarding segments that are two small to be part of a product such as a carton. Segments that are too large to correspond to a carton are 2D image processed to detect additional edges. Results from 3D and 2D edge detection are converted in a calibrated 3D space of the material carton loader or unloader to perform one of loading or unloading of the transportation carrier. Image processing can also detect jamming of products sequence from individually controllable zones of a conveyor of the robotic carton loader or unloader for singulated unloading.

Methods and systems for dynamically maintaining a map of robotic devices in an environment are provided herein. A map of robotic devices may be determined, where the map includes predicted future locations of at least some of the robotic devices. One or more robotic devices may then be caused to perform a task. During a performance of the task by the one or more robotic devices, task progress data may be received from the robotic devices, indicative of which of the task phases have been performed. Based on the data, the map may be updated to include a modification to the predicted future locations of at least some of the robotic devices. One or more robotic devices may then be caused to perform at least one other task in accordance with the updated map.

An example method is carried out in a warehouse environment having a plurality of inventory items located therein, each having a corresponding on-item identifier. The method involves determining a target inventory item having a target on-item identifier. The method also involves determining that a first inventory item having a first on-item identifier is loaded onto a first robotic device. The method further involves transmitting a request to verify the first on-item identifier. The method still further involves receiving data captured by a sensor of the second robotic device. The method yet further involves (i) analyzing the received data to determine the first on-item identifier, (ii) comparing the first on-item identifier and the target on-item identifier, and (iii) responsive to comparing the first on-item identifier and the target on-item identifier, performing an action.

An information processing apparatus that obtains, with high accuracy, the gripping position for gripping the target object by a gripping apparatus is provided. The information processing apparatus includes an image acquisition unit that acquires a captured image obtained by capturing an image of the target object, an image feature detection unit that detects a plurality of image features in the captured image, and a unit detection unit that detects a unit of a pattern in which a plurality of image features repeatedly appear. In addition, the information processing apparatus further includes a snipping position determining unit that determines a gripping position using the unit detected by the unit detection unit.

Provided is a boxing device to restrain productivity decreases and cost increases. A boxing device has a stocking section to form a stocking space in which a plurality of cardboard boxes made from a box-making sheet can be stocked, a packing section in which the cardboard boxes sent from the stocking space are placed, a boxing section, and a controller. The boxing section performs a boxing action of packing a plurality of products discharged from a bag-making and packaging machine into the cardboard boxes placed in the packing section. The controller, on the basis of weighing machine information and user-set information, executes a stocking number deciding process to decide a numerical quantity (stocking number) of cardboard boxes stocked in the stocking space. The weighing machine information is information relating to an operating condition of the packaging machine (packaging-machine-related information). The user-set information is information set by a user.

An example method is carried out in a warehouse environment having a plurality of inventory items located therein, each having a corresponding on-item identifier. The method involves determining a target inventory item having a target on-item identifier. The method also involves determining that a first inventory item having a first on-item identifier is loaded onto a first robotic device. The method further involves transmitting a request to verify the first on-item identifier. The method still further involves receiving data captured by a sensor of the second robotic device. The method yet further involves (i) analyzing the received data to determine the first on-item identifier, (ii) comparing the first on-item identifier and the target on-item identifier, and (iii) responsive to comparing the first on-item identifier and the target on-item identifier, performing an action.

A handling robot includes a chassis, a vertical bracket arranged on the chassis, a handling assembly slidably connected to the vertical bracket, a holder connected to the vertical bracket and a transfer component connected to the vertical bracket. The handling assembly is configured to retrieve or place a first container from or to a warehouse shelf. The holder is configured to hold a second container. The transfer component is configured to transfer an item between the first container on the handling assembly and the second container held by the holder. the vertical bracket is arranged between the handling assembly and the holder.

Methods and systems for dynamically maintaining a map of robotic devices in an environment are provided herein. A map of robotic devices may be determined, where the map includes predicted future locations of at least some of the robotic devices. One or more robotic devices may then be caused to perform a task. During a performance of the task by the one or more robotic devices, task progress data may be received from the robotic devices, indicative of which of the task phases have been performed. Based on the data, the map may be updated to include a modification to the predicted future locations of at least some of the robotic devices. One or more robotic devices may then be caused to perform at least one other task in accordance with the updated map.