Uipath Inc.

Clement B Fauchere

Tao Ma

Tarek Madkour

Bogdan Ripa

Andrei Robert Oros

Cristian Pufu

Remus Rusanu

Jingtao Ren

Runnan Jia

In some embodiments, an automation optimizer is configured to determine whether a provisioning condition is satisfied, for instance according to a current length of a job queue, or according to a current workload of a selected RPA host platform executing a plurality of software robots. When to the provisioning condition is satisfied, some embodiments automatically provision additional VMs onto the respective RPA host platform, and automatically remove VMs when automation demand is low. Exemplary RPA hosts include cloud computing platforms and on-premises servers, among others.

Dynamic cloud deployment of robotic process automation (RPA) robots

Controlling and provisioning a robot of a virtual machine (VM) includes transmitting a connection request between a first service installed in a virtual machine and a second service. The robot is associated with at least one process running on the virtual machine. The virtual machine is authenticated based on a token associated with the second service and the virtual machine. A connection is established between the first service and the second service. A command is transmitted associated with the controlling of the robot from the second service to the first service based on the authentication of the virtual machine. The command is associated with a corresponding command identifier for identifying a type of the command. The command is then executed for controlling the robot.

System and computer-implemented method for controlling a robot of a virtual machine

Systems and methods for allocating computing environments for completing an RPA (robotic process automation) workload are provided. A request for completing an RPA workload is received. A number of computing environments to allocate for completing the RPA workload is calculated based on a selected one of a plurality of RPA autoscaling strategies. The calculated number of computing environments is allocated for allocating one or more RPA robots to complete the RPA workload. The computing environments may be virtual machines.

Autoscaling strategies for robotic process automation

A method and/or apparatus for creating and/or editing a machine pool with bring your own machine (BYOM) includes creating and/or editing a machine pool with a static list of machines. A user input machine list and an existing machine list are retrieved, and the user input machine list and existing machine list are compared to identify one or more changes between the user input machine list and existing machine list. Next, a new machine specification is created when the one or more changes between the user input machine list and existing machine list are identified. The one or more machines are then moved to the new machine specification.

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Sammamish, WA, United States of America

Clement B Fauchere