Abstract: Provided is a mopping extension attachable to a robotic floor cleaning device including: a fluid reservoir for storing one or more cleaning fluids; a cloth for receiving the one or more cleaning fluids, wherein the cloth is oriented toward the work surface; and, at least one or more dispersed nozzle sets for controlling delivery of the one or more cleaning fluids to the cloth.

Abstract: A trusted deployment and communications gateway for deployment, trusted execution, and secure communications system includes a trusted platform for deployment of trusted applications. The trusted platform may include a secure user profile comprising user data specifications that is stored in a secure storage location of the trusted platform, a kernel development engine configured to receive various application program instructions within a trusted environment, a testing and signing module configured to generate signed application program instructions in response to determining that the application program instructions do not violate one or more of the data specifications, a compiler configured to compile the signed application program instructions to generate a signed application kernel, and a kernel store configured to store the signed application kernels that are executable in the trusted platform.

Abstract: A method including detecting an object in a line of sight of at least one sensor; adjusting a current path of the robot to include a detour path around the object, instructing the robot to resume along the current path after avoiding the object, discarding at least some data collected by sensors of the robot in overlapping areas covered, inferring previously visited areas and unvisited areas, generating a planar representation of a workspace of the robot by stitching data collected by at least some sensors of the robot at overlapping points, and presenting at least the planar representation and coverage statistics on an application of a communication device.

Abstract: Included is a method of path planning for a robotic device, including: receiving, by a processor of the robotic device, a sequence of one or more commands; executing, via the robotic device, the sequence of one or more commands; saving the sequence of one or more commands in memory of the robotic device after a predetermined amount of time from receiving a most recent one or more commands; and re-executing the saved sequence of one or more commands.

Abstract: A method for tracking movement and turning angle of a mobile robotic device using two optoelectronic sensors positioned on the underside thereof. Digital image correlation is used to analyze images captured by the optoelectronic sensors and determine the amount of offset, and thereby amount of movement of the device. Trigonometric analysis of a triangle formed by lines between the positions of the optoelectronic sensors at different intervals may be used to determine turning angle of the mobile robotic device.

Abstract: Provided is an autonomous hospital bed including: a frame; wheels; motors to drive the wheels; a controller in communication with the motors; sensors; a processor; a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuate operations including: capturing, with the sensors, depth data indicating distances to objects within an environment of the hospital bed and directions of the distances; capturing, with the sensors, movement data indicating movement distance and direction of the hospital bed; generating, with the processor, a map of the environment using the depth and movement data; generating, with the processor, a movement path to a first location; instructing, with the processor, motor drivers of the wheels to move the hospital bed along the movement path; and, inferring, with the processor, a location of the hospital bed within the environment as the hospital bed navigates along the movement path.

Abstract: Provided is a robot, including: a plurality of sensors; a processor; a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuates operations including: capturing, with an image sensor, images of a workspace as the robot moves within the workspace; identifying, with the processor, at least one characteristic of at least one object captured in the images of the workspace; determining, with the processor, an object type of the at least one object based on characteristics of different types of objects stored in an object dictionary; and instructing, with the processor, the robot to execute at least one action based on the object type of the at least one object.

Abstract: Provided is a method for operating a robot, including capturing images of a workspace, comparing at least one object from the captured images to objects in an object dictionary, identifying a class to which the at least one object belongs using an object classification unit, instructing the robot to execute at least one action based on the object class identified, capturing movement data of the robot, and generating a planar representation of the workspace based on the captured images and the movement data, wherein the captured images indicate a position of the robot relative to objects within the workspace and the movement data indicates movement of the robot.

Abstract: The present disclosure provides a built-in robotic floor cleaning system installed within the infrastructure of a workspace and a method for controlling and integrating such system in a workspace. The built-in robotic floor cleaning system comprises a robotic floor cleaning device and a docking station for charging the robotic floor cleaning device wherein the docking station is built into the infrastructure of the workspace. The system may further comprise a control panel integrated into the infrastructure of the workspace to deliver inputs from users and display outputs from the system. The system may further comprise a variety of types of confinement methods built into the infrastructure of the workspace to aid the robotic floor cleaning device in navigation. The system may also be provided with a virtual map of the environment during an initial set-up phase to assist with navigation.

Abstract: Provided is a method for navigating and mapping a workspace, including: obtaining a stream of spatial data indicative of a robot's position in a workspace, the stream of spatial data being based on at least output of a first sensor; obtaining a stream of movement data indicative of the robot's displacement in the workspace, the stream of movement data being based on at least output of a second sensor of different type than the first sensor; navigating along a path of the robot in the workspace based on the stream of spatial data; while navigating, mapping at least part of the workspace based on the stream of spatial data to form or update a spatial map in memory; and switching to a second mode of operation if the stream of spatial data is unavailable due to the first sensor becoming impaired or inoperative.

Abstract: Included is a method for a mobile automated device to detect and avoid edges including: providing one or more rangefinder sensors on the mobile automated device to calculate, continuously or periodically, distances from the one or more rangefinder sensor to a surface; monitoring, with a processor of the mobile automated device, the distances calculated by each of the one or more rangefinder sensors; and actuating, with the processor of the mobile automated device, the mobile automated device to execute one or more predetermined movement patterns upon the processor detecting a calculated distance greater than a predetermined amount, wherein the one or more movement patterns initiate movement of the mobile automated device away from the area where the increase was detected.

Abstract: Provided is a process, including obtaining, with a robot, raw pixel intensity values of a first image and raw pixel intensity values of a second image, wherein the first image and the second image are taken from different positions; determining, with one or more processors, an overlapping area of a field of view of the first image and of a field of view of the second image by comparing the raw pixel intensity values of the first image to the raw pixel intensity values of the second image; spatially, with one or more processors, aligning values based on sensor readings of the robot based on the overlapping area; and inferring, with one or more processors, features of a working environment of the robot based on the spatially aligned sensor readings.

Abstract: Provided is a tennis playing robotic device including: a chassis; a set of wheels; one or more motors to drive the wheels; one or more processors; one or more sensors; one or more arms pivotally coupled to the chassis; and one or more tennis rackets, each of the one or more tennis rackets being coupled to a terminal end of a corresponding arm of the one or more arms.

Abstract: A tangible, non-transitory, machine readable medium storing instructions that when executed by an image processor effectuates operations including: causing the camera to capture one or more images of an environment of the robotic device; receiving, with the image processor, one or more multidimensional arrays including at least one parameter that describes a feature included in the one or more images, wherein values of the at least one parameter correspond with pixels of a corresponding one or more images of the feature; determining, with the image processor, an amount of asymmetry of the feature in the one or more images based on at least a portion of the values of the at least one parameter; and, transmitting, with the image processor, a signal to the processor of the controller to adjust a heading of the robotic device by an amount proportional to the amount of asymmetry of the feature.

Abstract: A method for efficient navigational and work duty planning for mobile robotic devices. A mobile robotic device will autonomously create a plan for navigation and work duty functions based on data compiled regarding various considerations in the work environment. These factors include what type of work surface is being operated on, whether dynamic obstacles are present in the work environment or not and the like factors.

Abstract: Provided is a method for operating a robot, including capturing images of a workspace, comparing at least one object from the captured images to objects in an object dictionary, identifying a class to which the at least one object belongs using an object classification unit, instructing the robot to execute at least one action based on the object class identified, capturing movement data of the robot, and generating a planar representation of the workspace based on the captured images and the movement data, wherein the captured images indicate a position of the robot relative to objects within the workspace and the movement data indicates movement of the robot.

Abstract: Provided is a process executed by a robot, including: traversing, to a first position, a first distance in a backward direction; after traversing the first distance, rotating 180 degrees in a first rotation; after the first rotation, traversing, to a second position, a second distance in the second direction; and after traversing the second distance, rotating 180 degrees in a second rotation such that the field of view of the sensor points in the first direction.

Abstract: Provided are operations including: receiving, with one or more processors of a robot, an image of an environment from an imaging device separate from the robot; obtaining, with the one or more processors, raw pixel intensity values of the image; extracting, with the one or more processors, objects and features in the image by grouping pixels with similar raw pixel intensity values, and by identifying areas in the image with greatest change in raw pixel intensity values; determining, with the one or more processors, an area within a map of the environment corresponding with the image by comparing the objects and features of the image with objects and features of the map; and, inferring, with the one or more processors, one or more locations captured in the image based on the location of the area of the map corresponding with the image.

Abstract: Provided is a robot, including: a first actuator; a first sensor; one or more processors communicatively coupled to the first actuator and to the first sensor; and memory storing instructions that when executed by at least some of the one or more processors effectuate operations comprising: determining a first location of the robot in a working environment; obtaining, with the first sensor, first data indicative of an environmental characteristic of the first location; and adjusting a first operational parameter of the first actuator based on the sensed first data, wherein the adjusting is configured to cause the first operational parameter to be in a first adjusted state while the robot is at the first location.

Abstract: Provided is a method including capturing, by an image sensor disposed on a robot, images of a workspace; obtaining, by a processor of the robot or via the cloud, the captured images; comparing, by the processor of the robot or via the cloud, at least one object from the captured images to objects in an object dictionary; identifying, by the processor of the robot or via the cloud, a class to which the at least one object belongs using an object classification unit; and instructing, by the processor of the robot, the robot to execute at least one action based on the object class identified.