Abstract:
A robot having a signal sensor configured to measure a signal, a motion sensor configured to measure a relative change in pose, a local correlation component configured to correlate the signal with the position and/or orientation of the robot in a local region including the robot's current position, and a localization component configured to apply a filter to estimate the position and optionally the orientation of the robot based at least on a location reported by the motion sensor, a signal detected by the signal sensor, and the signal predicted by the local correlation component. The local correlation component and/or the localization component may take into account rotational variability of the signal sensor and other parameters related to time and pose dependent variability in how the signal and motion sensor perform. Each estimated pose may be used to formulate new or updated navigational or operational instructions for the robot.
Abstract:
A system can include at least one robot configured to autonomously navigate from a first location to a destination zone, the at least one robot having a generally cylindrical shape and including a storage container for storing at least one item for delivery, a plurality of image based depth sensor mounted proximate a top end of the robot, and a controller configured to navigate to the destination zone and to authenticate a delivery target for the item.
Abstract:
A method of object detection for a mobile robot includes emitting a speckle pattern of light onto a scene about the robot while maneuvering the robot across a work surface, receiving reflections of the emitted speckle pattern off surfaces of a target object in the scene, determining a distance of each reflecting surface of the target object, constructing a three-dimensional depth map of the target object, and classifying the target object.
Abstract:
A method for remotely monitoring a patient. The method includes generating and transmitting input commands to the robot from a remote station. The remote station may include a personal computer that is operated by a doctor. The input commands can move the robot so that a video image and sounds of the patient can be captured by a robot camera and microphone, respectively, and transmitted back to the remote station. The robot may also have a monitor and a speaker to allow for two-way videoconferencing between the patient and a doctor at the remote station. The robot can move from room to room so that a doctor can make “patient rounds” within a medical facility. The system thus allows a doctor visit patients from a remote location, thereby improving the frequency of visits and the quality of medical care.REEXAMINATION RESULTSThe questions raised in reexamination proceeding No. 90/012,069, filed Dec. 22, 2011, have been considered, and the results thereof are reflected in this reissue patent which constitutes the reexamination certificate required by 35 U.S.C. 307 as provided in 37 CFR 1.570(e) for ex parte reexaminations, or the reexamination certificate required by 35 U.S.C. 316 as provided in 37 CFR 1.997(e) for inter partes reexaminations.
Abstract:
Methods, systems, and devices are described for evaluating signal quality metrics at one or more locations on one or more available paths to a target location by a robotic device, and determining a path to a target location and an access point switching plan for the robotic device based, at least in part, on evaluated metrics. In some examples, evaluating signal quality metrics may include comparing signal quality metrics associated with one or more locations to multiple signal quality thresholds, where one or more of these signal quality thresholds may include a minimum bandwidth threshold. In some examples, the access point switching plan comprises one or more switching events between multiple radio access technologies (RATs) at one or more boundaries. In some examples, determining a path or determining an access point switching plan is based, at least in part, on comparing the costs associated with usage of multiple RATs.
Abstract:
A video system is disclosed that include a video robot. The video robot includes a video capturing device and a location sensing mechanism for sensing locations of a target within a space. The robot also include a mechanism for automatically selecting a field of view of the video capturing device to correspond to the locations of the subject as the subject moves through the locations in the space. In the method of the invention, locations of the target are monitored with a video capturing unit using location signals transmitted from a sensor on or near the target. Based on the locations of the target, the field of view of the video capturing unit to automatically adjusted to correspond to the locations of the subject as the subject moves through the space while the video unit simultaneously captures video data and displays representations of the video data on a screen.
Abstract:
Methods, systems, and devices are described for evaluating signal quality metrics at one or more locations on one or more available paths to a target location by a robotic device, and determining a path to a target location and an access point switching plan for the robotic device based, at least in part, on evaluated metrics. In some examples, evaluating signal quality metrics may include comparing signal quality metrics associated with one or more locations to multiple signal quality thresholds, where one or more of these signal quality thresholds may include a minimum bandwidth threshold. In some examples, the access point switching plan comprises one or more switching events between multiple radio access technologies (RATs) at one or more boundaries. In some examples, determining a path or determining an access point switching plan is based, at least in part, on comparing the costs associated with usage of multiple RATs.
Abstract:
A method of localizing a mobile robot includes receiving sensor data of a scene about the robot and executing a particle filter having a set of particles. Each particle has associated maps representing a robot location hypothesis. The method further includes updating the maps associated with each particle based on the received sensor data, assessing a weight for each particle based on the received sensor data, selecting a particle based on its weight, and determining a location of the robot based on the selected particle.
Abstract:
A system including a mobile telepresence robot, a to telepresence computing device in wireless communication with the robot, and a host computing device in wireless communication with the robot and the telepresence computing device. The host computing device relays User Datagram Protocol traffic between the robot and the telepresence computing device through a firewall.
Abstract:
A mobile robot that includes a drive system, a controller in communication with the drive system, and a volumetric point cloud imaging device supported above the drive system at a height of greater than about one feet above the ground and directed to be capable of obtaining a point cloud from a volume of space that includes a floor plane in a direction of movement of the mobile robot. The controller receives point cloud signals from the imaging device and issues drive commands to the drive system based at least in part on the received point cloud signals.