Abstract: An electronic device manufacturing system includes a motion control system for calibrating a gap between surfaces of process chamber or loadlock components by moving those component surfaces into direct contact with each other. The component surfaces may include a surface of a substrate and/or a substrate support and a surface of process delivery apparatus, which may be, e.g., a pattern mask and/or a plasma or gas distribution assembly. The motion control system may include a motion controller, a software program executable by the motion controller, a network, one or more actuator drivers, a software program executable by the one or more actuator drivers, one or more actuators, and one or more feedback devices. Methods of calibrating a gap via direct contact of process chamber or loadlock component surfaces are also provided, as are other aspects.

Abstract: Electronic device processing systems may include a mainframe housing having a transfer chamber, a first carousel assembly, a second carousel assembly, a first load lock, a second load lock, and a robot adapted to operate in the transfer chamber to exchange substrates between the first and second carousels and the first and second load locks. The robot may include first and second end effectors operable to extend and/or retract simultaneously or sequentially along substantially co-parallel lines of action. Methods and multi-axis robots for transporting substrates are described, as are numerous other aspects.

Abstract: An electronic device manufacturing system includes a motion control system for calibrating a gap between surfaces of process chamber or loadlock components by moving those component surfaces into direct contact with each other. The component surfaces may include a surface of a substrate and/or a substrate support and a surface of process delivery apparatus, which may be, e.g., a pattern mask and/or a plasma or gas distribution assembly. The motion control system may include a motion controller, a software program executable by the motion controller, a network, one or more actuator drivers, a software program executable by the one or more actuator drivers, one or more actuators, and one or more feedback devices. Methods of calibrating a gap via direct contact of process chamber or loadlock component surfaces are also provided, as are other aspects.

Abstract: Electronic device processing systems may include a mainframe housing having a transfer chamber, a first carousel assembly, a second carousel assembly, a first load lock, a second load lock, and a robot adapted to operate in the transfer chamber to exchange substrates between the first and second carousels and the first and second load locks. The robot may include first and second end effectors operable to extend and/or retract simultaneously or sequentially along substantially co-parallel lines of action. Methods and multi-axis robots for transporting substrates are described, as are numerous other aspects.

Abstract: An electronic device manufacturing system includes a motion control system for calibrating a gap between surfaces of process chamber or loadlock components by moving those component surfaces into direct contact with each other. The component surfaces may include a surface of a substrate and/or a substrate support and a surface of process delivery apparatus, which may be, e.g., a pattern mask and/or a plasma or gas distribution assembly. The motion control system may include a motion controller, a software program executable by the motion controller, a network, one or more actuator drivers, a software program executable by the one or more actuator drivers, one or more actuators, and one or more feedback devices. Methods of calibrating a gap via direct contact of process chamber or loadlock component surfaces are also provided, as are other aspects.

Abstract: An electronic device manufacturing system includes a motion control system for calibrating a gap between surfaces of process chamber or loadlock components by moving those component surfaces into direct contact with each other. The component surfaces may include a surface of a substrate and/or a substrate support and a surface of process delivery apparatus, which may be, e.g., a pattern mask and/or a plasma or gas distribution assembly. The motion control system may include a motion controller, a software program executable by the motion controller, a network, one or more actuator drivers, a software program executable by the one or more actuator drivers, one or more actuators, and one or more feedback devices. Methods of calibrating a gap via direct contact of process chamber or loadlock component surfaces are also provided, as are other aspects.

Abstract: Methods of correcting positional misalignment of blades in robots, such as dual-bladed robots, are described. The methods include, in one or more embodiments, a robot including moveable arms and an end effector attached to one of the moveable arms, a flag disposed on one of the moveable arms or the end effector, a chamber adapted to be serviced by the end effector, a beam sensor positioned at a distance from the chamber, and correcting misalignment of the end effector wherein the misalignment occurs between an initial linear center-finding location and the estimated center of the chamber. Systems of such electronic device calibration are also disclosed. Numerous other aspects are provided.

Abstract: Methods of correcting positional misalignment of blades in robots, such as dual-bladed robots, are described. The methods include, in one or more embodiments, a robot including moveable arms and an end effector attached to one of the moveable arms, a flag disposed on one of the moveable arms or the end effector, a chamber adapted to be serviced by the end effector, a beam sensor positioned at a distance from the chamber, and correcting misalignment of the end effector wherein the misalignment occurs between an initial linear center-finding location and the estimated center of the chamber. Systems of such electronic device calibration are also disclosed. Numerous other aspects are provided.

Abstract: A wafer handling system may include upper and lower linked robot arms that may move a wafer along a nonlinear trajectory between chambers of a semiconductor processing system. These features may result in a smaller footprint in which the semiconductor processing system may operate, smaller transfer chambers, smaller openings in process chambers, and smaller slit valves, while maintaining high wafer throughput. In some embodiments, simultaneous fast wafer swaps between two separate chambers, such as load locks and ALD (atomic layer deposition) carousels, may be provided. Methods of wafer handling are also provided, as are other aspects.

Abstract: Electronic device processing systems are described. The system includes a mainframe housing having a transfer chamber, a first facet, a second facet opposite the first facet, a third facet, and a fourth facet opposite the third facet, a first carousel assembly coupled to a first facet, a second carousel assembly coupled to the third facet, a first load lock coupled to the second facet, a second load lock coupled to the fourth facet, and a robot adapted to operate in the transfer chamber to exchange substrates from the first and second carousels. Methods and multi-axis robots for transporting substrates are described, as are numerous other aspects.

Abstract: A wafer handling system may include upper and lower linked robot arms that may move a wafer along a nonlinear trajectory between chambers of a semiconductor processing system. These features may result in a smaller footprint in which the semiconductor processing system may operate, smaller transfer chambers, smaller openings in process chambers, and smaller slit valves, while maintaining high wafer throughput. In some embodiments, simultaneous fast wafer swaps between two separate chambers, such as load locks and ALD (atomic layer deposition) carousels, may be provided. Methods of wafer handling are also provided, as are other aspects.

Abstract: Described herein is a method and apparatus for performing calibrations on robotic components. In one embodiment, a method for performing robotic calibrations includes moving the calibrating device across a target (e.g., a wafer chuck). Next, the method includes measuring distances between light spots from the sensors and a perimeter of the target using the sensors located on the calibrating device. Next, the method includes determining a displacement of the calibrating device relative to a center of the target. Then, the method includes determining a rotation angle of the calibrating device relative to a system of coordinates of the target. Next, the method includes calibrating a robot position of the robot based on the displacement and rotation angle of the calibrating device with respect to the target.

Abstract: Described herein is a method and apparatus for performing calibrations on robotic components. In one embodiment, a method for performing robotic calibrations includes moving the calibrating device across a target (e.g., a wafer chuck). Next, the method includes measuring distances between light spots from the sensors and a perimeter of the target using the sensors located on the calibrating device. Next, the method includes determining a displacement of the calibrating device relative to a center of the target. Then, the method includes determining a rotation angle of the calibrating device relative to a system of coordinates of the target. Next, the method includes calibrating a robot position of the robot based on the displacement and rotation angle of the calibrating device with respect to the target.

Abstract: Described herein is a method and apparatus for performing calibrations on robotic components. In one embodiment, a method for performing robotic calibrations includes moving the calibrating device across a target (e.g., a wafer chuck). Next, the method includes measuring distances between light spots from the sensors and a perimeter of the target using the sensors located on the calibrating device. Next, the method includes determining a displacement of the calibrating device relative to a center of the target. Then, the method includes determining a rotation angle of the calibrating device relative to a system of coordinates of the target. Next, the method includes calibrating a robot position of the robot based on the displacement and rotation angle of the calibrating device with respect to the target.

Abstract: Methods and apparatus are provided for the use of a dual Selective Compliant Assembly Robot Arm (SCARA) robot. In some embodiments two SCARAs are provided, each including an elbow joint, wherein the two SCARAs are vertically stacked such that one SCARA is a first arm and the other SCARA is a second arm, and wherein the second arm is adapted to support a first substrate, and the first arm is adapted to extend to a full length when the second arm supports the first substrate, and wherein the first substrate supported by the second arm is coplanar with the elbow joint of the first arm, and the second arm is further adapted to move concurrently in parallel (and/or in a coordinated fashion) with the first arm a sufficient amount to avoid interference between the first substrate and the elbow joint of the first arm. Numerous other embodiments are provided.

Abstract: Described herein is a method and apparatus for performing calibrations on robotic components. In one embodiment, a method for performing robotic calibrations includes moving the calibrating device across a target (e.g., a wafer chuck). Next, the method includes measuring distances between light spots from the sensors and a perimeter of the target using the sensors located on the calibrating device. Next, the method includes determining a displacement of the calibrating device relative to a center of the target. Then, the method includes determining a rotation angle of the calibrating device relative to a system of coordinates of the target. Next, the method includes calibrating a robot position of the robot based on the displacement and rotation angle of the calibrating device with respect to the target.

Abstract: Methods and apparatus are provided for the use of a dual Selective Compliant Assembly Robot Arm (SCARA) robot. In some embodiments two SCARAs are provided, each including an elbow joint, wherein the two SCARAs are vertically stacked such that one SCARA is a first arm and the other SCARA is a second arm, and wherein the second arm is adapted to support a first substrate, and the first arm is adapted to extend to a full length when the second arm supports the first substrate, and wherein the first substrate supported by the second arm is coplanar with the elbow joint of the first arm, and the second arm is further adapted to move concurrently in parallel (and/or in a coordinated fashion) with the first arm a sufficient amount to avoid interference between the first substrate and the elbow joint of the first arm. Numerous other embodiments are provided.

Abstract: Generally, a method of determining a position of a robot is provided. In one embodiment, a method of determining a position of a robot comprises acquiring a first set of positional metrics, acquiring a second set of positional metrics and resolving the position of the robot due to thermal expansion using the first set and the second set of positional metrics. Acquiring the first and second set of positional metrics may occur at the same location within a processing system, or may occur at different locations. For example, in another embodiment, the method may comprise acquiring a first set of positional metrics at a first location proximate a processing chamber and acquiring a second set of positional metrics in another location. In another embodiment, substrate center information is corrected using the determined position of the robot.

Abstract: Generally, a method of determining a position of a robot is provided. In one embodiment, a method of determining a position of a robot comprises acquiring a first set of positional metrics, acquiring a second set of positional metrics and resolving the position of the robot due to thermal expansion using the first set and the second set of positional metrics. Acquiring the first and second set of positional metrics may occur at the same location within a processing system, or may occur at different locations. For example, in another embodiment, the method may comprise acquiring a first set of positional metrics at a first location proximate a processing chamber and acquiring a second set of positional metrics in another location. In another embodiment, substrate center information is corrected using the determined position of the robot.