Method for handling goods and handling system for order-picking goods with an order-picking system, wherein goods are removed from a storage facility and positioned on a target load carrier. The goods are moved from the storage facility onto the target load carrier using a robot and/or a conveying system. Properties of the goods, in particular strength, rigidity, weight, surface composition, and/or center of gravity, are captured and, based on data regarding errors during movements of the goods. During operation of the handling system, boundary conditions up to which a functioning of the robot and/or of the conveying system depending on properties of the goods is ensured are determined, after which operation of the handling system is adapted depending on captured properties of the goods, namely through the adaptation of forces and/or accelerations that are applied to the goods by the robot and/or the conveying system.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for automatically generating object representations. One of the methods includes grasping, by a robot, an object at a first grasp point and generating a first partial object mesh based on one or more first sensor measurements of the object when held by the robot at the first grasp point. A second grasp point is identified for the object that is located in a region captured by the one or more first sensor measurements. A second partial object mesh is generated based on one or more second sensor measurements of the object when held by the robot at the second grasp point.

In one embodiment, a method includes receiving, from a first sensor on a robot, first sensor data indicative of an environment of the robot. The method also includes identifying, based on the first sensor data, an object of an object type in the environment of the robot, where the object type is associated with a classifier that takes sensor data from a predetermined pose relative to the object as input. The method further includes causing the robot to position a second sensor on the robot at the predetermined pose relative to the object. The method additionally includes receiving, from the second sensor, second sensor data indicative of the object while the second sensor is positioned at the predetermined pose relative to the object. The method further includes determining, by inputting the second sensor data into the classifier, a property of the object.

A closed-circuit television (CCTV) online pipeline detection system includes a detection robot and a control terminal of the detection robot, where the detection robot is provided with a CCTV pipeline detection system adapted to the detection robot; the CCTV pipeline detection system includes a GTR8600 monitoring module, a drive device, and a power drive device; the control terminal is separately electrically connected with the GTR8600 monitoring module, the drive device, and the power drive device through a control system; and the control system is provided inside the control terminal.