A robot includes: a base having a plurality of wheels; a body having a bottom portion coupled above the base, and a top portion above the bottom portion, the top portion configured to support food and/or drink; a first camera at the bottom portion, wherein the first camera is oriented to view upward; and a second camera at the top portion, wherein the second camera is configured to view upward.

Embodiments of the present disclosure include automated guided vehicles (AGVs) having a steerable camera for target-tracking. In one embodiment, the AGV includes a body having one or more motorized wheels, the body having a first end and a second end opposing the first end, a console coupled in an upright position to the first end of the body, and a first camera coupled to the console, the first camera providing one or more axes of rotation and is operable to follow an object.

A three-dimensional measuring apparatus includes a projection unit that projects a first pattern light and a second pattern light by a laser beam on a region containing an object, an imaging unit that images a captured image of the region, a vibration information receiving part that receives vibration information on a vibration of the projection unit or the imaging unit, and a measuring unit that measures a three-dimensional shape of the object based on the captured image, wherein the region on which the first pattern light having a first period is projected is imaged by the imaging unit when the vibration information is equal to or smaller than a first threshold value.

An inspection robot comprises a control cabinet, an actuator, and a base. The control cabinet and the actuator are oppositely arranged on the base in a direction parallel to a plane where the base is located. The control cabinet is configured to control a path of movement of the actuator. The actuator and the control cabinet are both installed on the same panel of the base, so that the load is more uniformly distributed on the base. Also provided is an inspection method.

A remote control station that accesses one of at least two different robots that each have at least one unique robot feature. The remote control station receives information that identifies the robot feature of the accessed robot. The remote station displays a display user interface that includes at least one field that corresponds to the robot feature of the accessed robot. The robot may have a laser pointer and/or a projector.

A distance measuring device includes a light output unit outputting a linear laser beam, a light scanning unit including a mirror that reflects the laser beam from the light output unit while swinging and generating a pattern light on an object, a light detection unit placed in a position equal to or less than 90% of maximum swing amplitude of the mirror, and receiving the light reflected by the mirror and outputting a light reception signal, an imaging unit imaging the pattern light, a measuring unit measuring a distance to the object based on a result of imaging by the imaging unit, and a control unit controlling generation of the pattern light based on the light reception signal.

The present invention provides a treatment method for treating a surface for treatment by means of an automaton (1) comprising: a base (2) configured to move over ground; a platform (6) mounted on the base and configured to move, at least in part, perpendicularly to the base; and treatment means (10) mounted on the platform and including a movable end (12) configured to treat a given area; the method comprising: a) subdividing the surface for treatment into subdivisions of area less than or equal to the given area; b) treating the surface of each subdivision by controlling movements of the treatment means (10); and c) changing subdivision by moving the platform (6) and/or by moving the base (2) over the ground. The invention also provides an automaton for performing the above method.

Disclosed is a variable-parameter stiffness identification and modeling method for an industrial robot. An effective working space of a robot is divided into a plurality of cubic regions. For an operating task in a certain machining region, different loads are applied to an end effector at multiple positions and multiple postures in the region, and robot joint stiffness in this section is identified and acquired according to the relationship between the loads and an end deformation, thereby realizing accurate stiffness control of the robot in different operating sections during a machining process.

A robot vision-based automatic rivet placement system and method. The automatic rivet placement system includes: an industrial robot installed on a frame, a multi-functional end effector, a rivet blowing mechanism, a detection disk, and a rivet holding tray. The multi-functional end effector consists of a flange disk, a support frame, an industrial CCD camera, a laser displacement sensor, a spring, a mixing rod, and a vacuum nozzle. The multi-functional end effector is connected to a terminal end of the industrial robot via the flange disk. The industrial CCD camera is installed directly in front of the support frame, and is used to acquire a rivet image and measure a rivet parameter. The laser displacement sensor is installed at a side surface of the support frame, and is used to measure a rivet depth.

Provided are a system, method(s), and apparatus for automatically harvesting mushrooms from a mushroom bed. The system, in one implementation, may be referred to herein as an “automated harvester”, having at least an apparatus/frame/body/structure for supporting and positioning the harvester on a mushroom bed, a vision system for scanning and identifying mushrooms in the mushroom bed, a picking system for harvesting the mushrooms from the bed, and a control system for directing the picking system according to data acquired by the vision system. Various other components, sub-systems, and connected systems may also be integrated into or coupled to the automated harvester.