Aspects of the disclosure relate to intelligent RPA bot development. A computing platform may identify user interface field information from one or more applications based on tracking eye movements of the user. The computing platform may identify device events associated with the eye movements of the user. The computing platform may generate a sequence log associating the eye movements of the user with the device events. The computing platform may derive, using a machine learning model, based on the sequence log, a cognitive model of the transaction by the user. The computing platform may generate a workflow for an autonomous bot by identifying and assembling robotic process automation components based on the derived cognitive model of the transaction by the user. The computing platform may send the workflow for the autonomous bot to a user computing device.

An electronic device such as an accessory-mountable robot is provided. The electronic device changes functional properties thereof in accordance with a mounted accessory. In an embodiment, the electronic device detects mounting of at least one accessory and identifies accessory characteristics associated with the at least one accessory. Then, the electronic device determines properties of the electronic device associated with the at least one accessory, based on the accessory characteristics, and changes the properties of the electronic device, based on the determined properties. Also, the electronic device outputs at least one of a visual element, an auditory element, or a tactile element associated with the at least one accessory, based on the changed properties.

A teach pendant can be communicatively coupled to a light. The teach pendant can be communicatively coupled to a robot. The teach pendant can include one or more processors. The teach pendant can be configured to control the light. For instance, the teach pendant can be configured to selectively activate and deactivate the light. The light can be operatively connected to the teach pendant or the robot. The light can help robot programmers or technicians see in dark or dimly lit work environments. The light can improve user safety in such environments and/or enhance the work environment.

A robot control system includes a control device for controlling a robot and a portable operating panel connected to the control device. The portable operating panel and at least one other device include contact points connected in series. The control device includes a reception circuit that can detect the opening of at least one of the contact points. The portable operating panel includes a smart device having a sensor. The contact point included in the portable operating panel is opened and closed in conjunction with a physical movement of a switch member attached to an exterior of the smart device. The sensor can detect a physical quantity that changes in conjunction with the physical movement of the switch member. The portable operating panel transmits, to the control device, a detection signal indicating the physical quantity detected by the sensor or information about the physical quantity.

A method for controlling a robot (1) for handling a part to be handled (14), the handling robot (1) being linked to a control interface comprising a glove (40) comprising a first finger (41) provided with a first contact sensor (42) and a second finger (43) provided with a second contact sensor (44), the method comprising the following steps; a) associating, in a signal library (25), a first and a second recorded combination of signals (26, 21); b) acquiring a combination of signals originating from the sensors (26, 27) of the glove (40); c) comparing the acquired combination of signals with the recorded combinations (27, 28, 29) in the library (25); d) controlling the handling robot (1) in such a way as to perform a movement according to the velocity vector associated with the acquired combination of signals. A handling glove (40) and handling device implementing the method.

A management system is a management system which includes a remote work system having at least one master unit and a plurality of slave units which can be remotely operated and a management server, in which each of the plurality of slave units includes a gripping unit that is configured to grip a target, grip the target by means of autonomous control, and, when being connected to the master unit by the management server, grip the target by means of a remote operation by the master unit, the master unit is configured to perform the remote operation on the plurality of slave units, and the management server includes an operation management unit that is configured to connect the master unit and the plurality of slave units when a remote operation is required.

A building monitoring system includes a first sensor configured to detect a first condition in the space, a second sensor configured to detect a second condition in the space, and a robotic sentinel. The robotic sentinel includes a memory for storing one or more rules each configured to identify an alert condition for the space based on the first and/or second conditions in the space, a communications module configured to communicate with a remote device over a network, and a controller operatively coupled to the sensors, the memory, and the communications module. The controller is configured to apply the one or more rules to the first and second detected conditions in the space to identify one or more alert conditions and determine what action is required by the robotic sentinel, and if action is required, command the robotic sentinel to travel to a location of the alert condition.

A mobile robot is configured for operation in a commercial or industrial setting, such as an office building or retail store. The mobile robot may include cameras for capturing images and videos and include microphones for capturing audio of its surroundings. To improve privacy by preventing confidential information from being transmitted, the mobile robot may detect text in images and modify the images to make the text illegible before transmitting the images. The mobile robot may also detect human voice in audio and modify audio to make the human voice unintelligible before transmitting the audio.

A technique for analyzing Quality of Experience, QoE, of a delay critical robotic application in a cloud robotics system is disclosed, the robotic application involving use of a cloud based service by a robot, the service being provided to the robot from a cloud using a connection over a mobile communication network. A method implementation of the technique comprises triggering (S202) determining whether a QoE measure associated with the robotic application exceeds a threshold to assess whether QoE degradation is present, and, when it is determined that QoE degradation is present, triggering (S204) identifying a root cause for the QoE degradation based on one or more performance indicators observed within the mobile communication network and associated with the connection.

A robot management system (RMS) includes a plurality of service robots deployed within an operations venue that includes a plurality of gaming devices, an operator terminal presenting a graphical user interface (GUI) to an operator, and a robot management system server (RMS server) configured in networked communication with the plurality of service robots. The RMS server is configured to: identify location data for the service robots; create an interactive overlay map of the operations venue that includes a static map of the operations venue, overlay data showing the location data of the plurality of service robots over the static map, and an interactive icon for each service robot of the plurality of service robots; display, via the GUI, the overlay map; receive a first input indicating a selection of a first interactive icon associated with a first service robot; and display current status information associated with the first service robot.