Abstract: A method of operating a mobile cleaning robot system including a mobile cleaning robot and a display device can include displaying a room cleaning settings indication selectable to set one or more cleaning settings for a previously-mapped specified room. When the room cleaning settings indication is selected, a cleaning mode indication can be displayed where the cleaning mode indication is selectable to set a cleaning mode setting of the specified room.

Abstract: Described herein are systems, devices, and methods for scheduling and controlling a mobile robot based on user location, user behavior, or other contextual information. In an example, a mobile cleaning robot comprises a drive system configured to move the mobile cleaning robot about an environment in a user's residence, and a controller circuit configured to receive an indication of a user entering or exiting a pre-defined geographical zone with respect to a location of the user's residence. Such indication may be detected using location and geofencing services of a mobile device. Based on the indication of the user entering or exiting the geofence, the controller circuit may generate a motion control signal to navigate the mobile cleaning robot to conduct a mission in the environment.

Abstract: A mobile cleaning robot includes a cleaning head configured to clean a floor surface in an environment, and at least one camera having a field of view that extends above the floor surface. The at least one camera is configured to capture images that include portions of the environment above the floor surface. The robot includes a recognition module is configured to recognize objects in the environment based on the images captured by the at least one camera, in which the recognition module is trained at least in part using the images captured by the at least one camera. The robot includes a storage device is configured to store a map of the environment. The robot includes a control module configured to control the mobile cleaning robot to navigate in the environment using the map and operate the cleaning head to perform cleaning tasks taking into account of the objects recognized by the recognition module.

Abstract: A mobile cleaning robot includes a cleaning head configured to clean a floor surface in an environment, and at least one camera having a field of view that extends above the floor surface. The at least one camera is configured to capture images that include portions of the environment above the floor surface. The robot includes a recognition module is configured to recognize objects in the environment based on the images captured by the at least one camera, in which the recognition module is trained at least in part using the images captured by the at least one camera. The robot includes a storage device is configured to store a map of the environment. The robot includes a control module configured to control the mobile cleaning robot to navigate in the environment using the map and operate the cleaning head to perform cleaning tasks taking into account of the objects recognized by the recognition module.

Abstract: A mobile cleaning robot includes a cleaning head configured to clean a floor surface in an environment, and at least one camera having a field of view that extends above the floor surface. The at least one camera is configured to capture images that include portions of the environment above the floor surface. The robot includes a recognition module is configured to recognize objects in the environment based on the images captured by the at least one camera, in which the recognition module is trained at least in part using the images captured by the at least one camera. The robot includes a storage device is configured to store a map of the environment. The robot includes a control module configured to control the mobile cleaning robot to navigate in the environment using the map and operate the cleaning head to perform cleaning tasks taking into account of the objects recognized by the recognition module.

Abstract: A computer system supports hosting of virtual desktops using resources available in the cloud. Connections to various resources used by a desktop configuration are made dynamically using authentication information associated with the user assigned to the desktop configuration. In addition to using file storage, directory services and user management information on private resources on a private network, these resources may also be accessed through a public network.

Abstract: A computer system supports hosting of virtual desktops using resources available in the cloud. Connections to various resources used by a desktop configuration are made dynamically using authentication information associated with the user assigned to the desktop configuration. In addition to using file storage, directory services and user management information on private resources on a private network, these resources may also be accessed through a public network.

Abstract: A first capture system that captures network communication events related to an application, and a second capture system that captures internal processing events related to the application. A visualization system analyzes the data captured by each of the capture systems, synchronizes and correlates the data, and presents an integrated display of these communication and processing events. In a preferred embodiment, the communicated messages include an identifier of the application, and the processing components also associate an identifier of the application to each recorded processing event. To facilitate the integrated display of the events, the visualization system synchronizes the recorded communication and processing events to a common time base.

Abstract: A metric monitoring and analysis system including dynamic sampling agents located in monitored system elements and a service management platform. Each sampling agent includes a data adapter collecting metric data in a common format, a threshold generator for determining dynamic metric threshold ranges, an alarm detector generating an indicator when a metric deviates outside a dynamic threshold range or a static threshold, and a deviation tracker generating an alarm severity scores. The service platform includes an alarm analyzer identifying root causes of system alarm conditions by correlation of grouped metrics or forensic analysis of temporally or statistically correlated secondary forensic data or data items from a service model of the system.