A manufacturing system manufactures a rotating assembly by attaching a plurality of attached target members in a circumferential direction of a rotating main body portion. A storage member capable of storing the plurality of attached target members is placed on a stand. A measurement device measures a physical amount of the attached target member An attachment device attaches one attached target member to a predetermined position in the circumferential direction of the rotating main body portion based on the physical amount measured by the measurement device A transfer device transfers the attached target member.

A manufacturing system manufactures a rotating assembly by attaching a plurality of attached target members in a circumferential direction of a rotating main body portion. A storage member capable of storing the plurality of attached target members is placed on a stand. A measurement device measures a physical amount of the attached target member An attachment device attaches one attached target member to a predetermined position in the circumferential direction of the rotating main body portion based on the physical amount measured by the measurement device A transfer device transfers the attached target member.

A stocker may include a load port which a cassette for receiving wafers is either loaded on or unloaded from, an aligner configured to align the wafers and to confirm identification codes of the wafers, a plurality of shelves each having slots for receiving the wafers, a first transfer robot having a first robot arm for transferring the wafers between the load port and the aligner and a second transfer robot having a second robot arm for transferring the wafers between the aligner and the shelves.

Provided are systems and method for automated handling of one or more objects.

Example embodiments may relate to methods and systems for selecting a grasp point on an object. In particular, a robotic manipulator may identify characteristics of a physical object within a physical environment. Based on the identified characteristics, the robotic manipulator may determine potential grasp points on the physical object corresponding to points at which a gripper attached to the robotic manipulator is operable to grip the physical object. Subsequently, the robotic manipulator may determine a motion path for the gripper to follow in order to move the physical object to a drop-off location for the physical object and then select a grasp point, from the potential grasp points, based on the determined motion path. After selecting the grasp point, the robotic manipulator may grip the physical object at the selected grasp point with the gripper and move the physical object through the determined motion path to the drop-off location.

Example methods and systems for determining 3D scene geometry by projecting patterns of light onto a scene are provided. In an example method, a first projector may project a first random texture pattern having a first wavelength and a second projector may project a second random texture pattern having a second wavelength. A computing device may receive sensor data that is indicative of an environment as perceived from a first viewpoint of a first optical sensor and a second viewpoint of a second optical sensor. Based on the received sensor data, the computing device may determine corresponding features between sensor data associated with the first viewpoint and sensor data associated with the second viewpoint. And based on the determined corresponding features, the computing device may determine an output including a virtual representation of the environment that includes depth measurements indicative of distances to at least one object.

Example methods and systems for determining 3D scene geometry by projecting patterns of light onto a scene are provided. In an example method, a first projector may project a first random texture pattern having a first wavelength and a second projector may project a second random texture pattern having a second wavelength. A computing device may receive sensor data that is indicative of an environment as perceived from a first viewpoint of a first optical sensor and a second viewpoint of a second optical sensor. Based on the received sensor data, the computing device may determine corresponding features between sensor data associated with the first viewpoint and sensor data associated with the second viewpoint. And based on the determined corresponding features, the computing device may determine an output including a virtual representation of the environment that includes depth measurements indicative of distances to at least one object.

A method for identifying workpieces that are distributed in a sorted manner to multiple workpiece collection units and brought to the workpiece collection units using an automation device. Included is identifying elements for emitting and receiving electromagnetic signals to and from transceiver units situated on the workpiece collection units to determine the position of the identifying elements from transit times of the electromagnetic signals between the transceiver units and the identifying elements. The identifying elements each bear information regarding the workpieces on the workpiece collection units. The identifying elements, which are provided by a delivery device and each bear information regarding the workpieces on the workpiece collection units, are brought from the location of a delivery device to a transfer zone in the working area of the automation device. The automation device brings each provided identifying element from the transfer zone to the associated workpiece collection unit.

Example embodiments may relate to methods and systems for selecting a grasp point on an object. In particular, a robotic manipulator may identify characteristics of a physical object within a physical environment. Based on the identified characteristics, the robotic manipulator may determine potential grasp points on the physical object corresponding to points at which a gripper attached to the robotic manipulator is operable to grip the physical object. Subsequently, the robotic manipulator may determine a motion path for the gripper to follow in order to move the physical object to a drop-off location for the physical object and then select a grasp point, from the potential grasp points, based on the determined motion path. After selecting the grasp point, the robotic manipulator may grip the physical object at the selected grasp point with the gripper and move the physical object through the determined motion path to the drop-off location.

Example embodiments may relate to methods and systems for selecting a grasp point on an object. In particular, a robotic manipulator may identify characteristics of a physical object within a physical environment. Based on the identified characteristics, the robotic manipulator may determine potential grasp points on the physical object corresponding to points at which a gripper attached to the robotic manipulator is operable to grip the physical object. Subsequently, the robotic manipulator may determine a motion path for the gripper to follow in order to move the physical object to a drop-off location for the physical object and then select a grasp point, from the potential grasp points, based on the determined motion path. After selecting the grasp point, the robotic manipulator may grip the physical object at the selected grasp point with the gripper and move the physical object through the determined motion path to the drop-off location.