An approach to positioning one or more robotic arms in an assembly system may be described herein. For example, an apparatus may include a first robotic arm having a distal end and a proximal end. The distal end may be configured for movement and the proximal end may secure the first robotic arm. The apparatus may further include a camera connected with the distal end of the first robotic arm. The camera may be configured to capture image data of a marker connected with a second robotic arm and provide the image data to a computer. The computer may generate a set of instructions for the first robotic arm based on the image data of the marker. The movement of the first robotic arm may be caused by the computer according to the generated set of instructions.

A portable server assembly system includes a container structure configured to be transported between data center locations, such as a shipping container. The portable server assembly system also includes a plurality of robots that are stowed in the container when being transported between data center locations, and that assemble servers when deployed at a particular data center location. In some embodiments, when a first data center location is substantially populated with servers assembled by the portable server assembly system (or another system), the portable server assembly system is re-deployed to another data center for use in assembling servers for populating the other data center.

A method of coordinating automated systems, the method includes providing a first automated system that is programmed with a set of predetermined operating instructions that correspond with automated system processing requirements, monitoring an operational status of the first automated system with a second automated system, automatically generating a second system action, with the second automated system, that is complementary to a first system action of the first automated system, where the first system action corresponds to the set of predetermined operating instructions and the second system action depends on the operational status of the first automated system, and performing the second system action with the second automated system so that the second automated system cooperates with the first automated system to perform a predetermined operation.

An automated assembly station includes a mobile platform for holding a first workpiece, a robot having a moveable arm, and a controller. The moveable arm includes a load cell and a gripper that is adapted to grasp a second workpiece. The robot is operable to use the moveable arm and gripper to insert the second workpiece into a locked position on a mating part of the first workpiece. The load cell is operable to measure an amount of insertion force used to insert the second workpiece into the locked position. The controller is configured to record the insertion force and trigger an alarm in response to the insertion force exceeding a predesignated threshold insertion force.

Systems and methods for automated manufacture are provided. User input is received by way of user systems indicating nominal data measurements for an article. Automated material handling machines move parts within view of a machine vision system which performs an initial scan to identify features of said parts. Locations of areas for joining are determined by comparing the identified features to the nominal data measurements and the automated material handling machines move the parts into positions in accordance with the nominal data measurements to form the article. The automated material joining machines join the parts at said areas specified in said user input to form the article.

A manipulation controller is provided for reorienting an object by a manipulator of a robotic system. The manipulation controller includes an interface controller configured to acquire measurement data from sensors arranged on the robotic system, at least one processor, and a memory configured to store a computer-implemented method. The instructions of the method include acquiring measurement data from vision sensors and force sensors arranged on the robotic system, determining an input-output relation for the object based on a nonlinear static model representing input-output relationships between contact forces and movements of the object on the workbench, representing interaction between the object and the manipulator using complementarity constraints to capture the contact state between the object and the manipulator, formulating a representation for frictional stability of the object based on the non-linear static model at the external contacts with the workbench; formulating a bilevel optimization problem so as to maximize the frictional stability over a position trajectory of the object being manipulated on the workbench, estimating uncertainty value in physical parameters to be compensated by performing the bilevel optimization problem, solving the bilevel optimization problem using the non-linear optimization solver and generating control data with respect to a sequence of the contact forces being applied to the object by using the manipulator.