Human-in-the-loop robot training using artificial intelligence (AI) for robotic process automation (RPA) is disclosed. This may be accomplished by a listener robot watching interactions of a user or another robot with a computing system. Based on the interactions by the user or robot with the computing system, the robot may be improved and/or personalized for the user or a group of users.

Disclosed is a method for controlling cleaning at least a portion of a building facade (104a). A multi-dimensional map of a facade (104a) is cleaned from an elevator platform (200) of an elevator system is received. According to the map, an ordered sequence of instructions is determined. The instructions comprise robotic arm instructions and elevator platform instructions that are temporally intertwined to execute a cleaning pattern covering at least part of facade (104a). The robotic arm instructions are forwarded to control one or more robotic arms (206) and the elevator platform instructions are forwarded to control the elevation of the elevator platform (200). A corresponding device (221, 213) and non-transient memory (223), and a system having the device, are also disclosed.

A toy construction robotics system including a robotics control unit, the robotics control unit comprising: a housing comprising coupling elements configured for releasably interconnecting the robotics control unit with cooperating toy construction elements; a processor comprising programmed instructions; a plurality of I/O-ports connected to communicate with the processor; a plurality of separate light emitters arranged in a two-dimensional array on a front side of the housing, each of the light emitters being operable in response to instructions from the processor so as to produce at least two different indicator states; wherein the light emitters are aligned with respect to the I/O-ports such that each of the I/O-ports has an associated light emitter next to it. The light emitters may be operable, in response to instructions from the processor, to produce a machine readable code encoding data in respect of the robotics control unit. The machine readable code may comprise instructions for interaction between the robotics control unit and an external device.

Computerized RPA methods and systems that increase the flexibility and lower the cost with which RPA systems may be deployed are disclosed herein. In one embodiment, an RPA system and method avoids the need for preinstalled RPA software on a device employed by a user to create and/or execute software robots to perform RPA. In another embodiment, an RPA system and method provides a capability to execute software robots that may have been encoded in one or more programming languages to execute on an operating system different than that employed by a server of the RPA system.

The technology provides for a robotic control system implemented on a distributed system, which may include at least one processor on a cloud computing system and at least one processor on a robot. For instance, configuration data for a plurality of controllers of the robot may be received and the plurality of controllers may be deployed on the distributed system. For example, a first controller may be deployed on the cloud while a second controller may be deployed on the robot. The system may include a cloud database and a robot database. Both databases may store configuration data and current states of the first controller and the second controller, and may be synchronized. Workload for the first controller and the second controller may both be controlled based on the configuration data and the current states of the first controller and the second controller.

Systems and methods for presenting video of execution of a robotic process automation (RPA) workflow at a remote computing system are provided. Execution of the RPA workflow by a remote computing system is initiated. Video of the execution of the RPA workflow by the remote computing system is received at a local computing system. The video is presented at the local computing system.

A system providing a multi-tenant dashboard for allowing multiple users across a variety of tenants to access, view and report on the progress and performance of a robotic process automation system. Through the multi-tenant dashboard at least one tenant is established with identifying information. One or more users are assigned within the at least one tenant profile having a unique role and a unique a set of process steps to complete. The multi-tenant dashboard further provides a triggering system for evaluation and completion of set of process steps assigned to each user. Messages are sent through a messaging system notifying the at least one tenant of status of the automated processing system based on execution of the set of process steps.

A control apparatus includes a robot control unit that controls a robot having a robot distal end portion pivoting about respective axes of a distal end first axis and a distal end second axis, and a display control unit that displays a window containing a first operation part for pivoting the robot distal end portion about the distal end first axis using the robot control unit and a second operation part for pivoting the robot distal end portion about the distal end second axis using the robot control unit. In the window, a control mode can be switched between a first control mode of enabling operations by the first operation part and the second operation part and a second control mode of enabling the operation by the first operation part and disabling the operation by the second operation part. At teaching of control of the robot, the robot distal end portion is controlled into a posture with the distal end first axis perpendicular to a working surface on which the robot performs work in the first control mode, and then, the control mode can be switched to the second control mode.

An access management robot facilitation system facilitates a robot to execute access management tasks on a target system.

Human-in-the-loop robot training using artificial intelligence (AI) for robotic process automation (RPA) is disclosed. This may be accomplished by a listener robot watching interactions of a user or another robot with a computing system. Based on the interactions by the user or robot with the computing system, the robot may be improved and/or personalized for the user or a group of users.