Abstract: A robot sized and shaped for reception in a pipe, the robot including a chassis configured for movement of the robot in the pipe, a plurality of sensors including an inertial measurement unit (IMU), an encoder and a stereo vison camera associated with the robot, and a sensor fusion system operable to combine readings from the IMU, the encoder and the stereo vision camera to determine a position of the robot within the pipe, and wherein the sensor fusion system is operable to use machine learning in creating a digital twin of the pipe.

Abstract: A monitoring system having a plurality of sensors configured to collect sensor data associated with a heating, ventilation and air conditioning (HVAC) system, an edge processing unit proximate to the HVAC system and in communication with the plurality of sensors; wherein the plurality of sensors are configured to transmit the sensor data to the edge processing unit, and wherein the edge processing unit is configured to use trained artificial intelligence algorithms to predict the likelihood of failures of one or more components in the HVAC system based on the sensor data.

Abstract: Disclosed are methods, apparatuses, systems for generating formulation control data for producing a cosmetic product, wherein an image including a face representation is provided and formulation control data for producing a cosmetic formulation is derived. Further disclosed are cosmetic products and cosmetics formulations produced based on the generated formulation control data.

Abstract: Robotic systems and associated methods are described herein. The robotic system may collect measurements from various sensors corresponding to motion of the robotic system, the surrounding environment of the robotic system, or both. The robotic system may generate measurement data based on the collected measurements. Measurements from a particular sensor may be processed in conjunction with different sensors of the robotic system, which may facilitate more accurate or more useful measurement data. The systems and methods of the present disclosure enable the detection, labeling, and locating of features in real time or near real time using the robotic system with little or no reliance on human interaction to detect and map the features. The disclosure provides enhanced accuracy and efficiency as it enhances the functionality and reduces the reliance on human detection of features.

Abstract: Robotic systems and associated methods are described herein. The robotic system may collect measurements from various sensors corresponding to motion of the robotic system, the surrounding environment of the robotic system, or both. The robotic system may generate measurement data based on the collected measurements. Measurements from a particular sensor may be processed in conjunction with different sensors of the robotic system, which may facilitate more accurate or more useful measurement data. The systems and methods of the present disclosure enable the detection, labeling, and locating of features in real time or near real time using the robotic system with little or no reliance on human interaction to detect and map the features. The disclosure provides enhanced accuracy and efficiency as it enhances the functionality and reduces the reliance on human detection of features.

Abstract: A method includes creating a digital map of an environment, loading the digital map on a moveable robot, wherein the robot is placed in the environment, generating a trajectory path plan from a current position to a desired position using the digital map, the trajectory path having a plurality of waypoints, causing the robot to traverse within the environment in accordance with the trajectory path plan, collecting sensor data in real time while the robot is traversing within the environment, detecting, based on the collecting step, at each waypoint, whether an anomaly is present between an existing waypoint and a subsequent waypoint, and performing a corrective action of the robot based on the detecting step.

Abstract: A method and system for re-establishing fluid communication between a main pipe and a branch conduit extending from the main pipe following lining of the main pipe with a liner includes moving a robot supporting a cutting tool down the lined main pipe to a location proximate to the branch conduit. The cutting tool is selectively extendable from the robot for cutting the liner. The cutting tool is extended from the robot toward the liner at a location where the branch conduit has an opening into the main pipe on an opposite side of the liner. The liner cuts at the location with the cutting tool. The cutting during said step of cutting the liner is monitored and the operation of the cutting is adjusted based on information acquired by monitoring the cutting tool.

Abstract: Robotic systems and associated methods are described herein. The robotic system may collect measurements from various sensors corresponding to motion of the robotic system, the surrounding environment of the robotic system, or both. The robotic system may generate measurement data based on the collected measurements. Measurements from a particular sensor may be processed in conjunction with different sensors of the robotic system, which may facilitate more accurate or more useful measurement data. The systems and methods of the present disclosure enable the detection, labeling, and locating of features in real time or near real time using the robotic system with little or no reliance on human interaction to detect and map the features. The disclosure provides enhanced accuracy and efficiency as it enhances the functionality and reduces the reliance on human detection of features.

Abstract: Robotic systems and associated methods are described herein. The robotic system may collect measurements from various sensors corresponding to motion of the robotic system, the surrounding environment of the robotic system, or both. The robotic system may generate measurement data based on the collected measurements. Measurements from a particular sensor may be processed in conjunction with different sensors of the robotic system, which may facilitate more accurate or more useful measurement data. The systems and methods of the present disclosure enable the detection, labeling, and locating of features in real time or near real time using the robotic system with little or no reliance on human interaction to detect and map the features. The disclosure provides enhanced accuracy and efficiency as it enhances the functionality and reduces the reliance on human detection of features.

Abstract: A robot sized and shaped for reception in a pipe includes a chassis configured for movement of the robot on the pipe, a tool supported by the chassis for movement relative to the chassis, a plurality of sensors including an inertial measurement unit (IMU), an encoder and a light detection and ranging sensor (LIDAR) associated with the robot, and a sensor fusion system operable to combine readings from the IMU, the encoder and LIDAR to determine a position of the robot within the pipe.

Abstract: Robotic systems and associated methods are described herein. The robotic system may collect measurements from various sensors corresponding to motion of the robotic system, the surrounding environment of the robotic system, or both. The robotic system may generate measurement data based on the collected measurements. Measurements from a particular sensor may be processed in conjunction with different sensors of the robotic system, which may facilitate more accurate or more useful measurement data. The systems and methods of the present disclosure enable the detection, labeling, and locating of features in real time or near real time using the robotic system with little or no reliance on human interaction to detect and map the features. The disclosure provides enhanced accuracy and efficiency as it enhances the functionality and reduces the reliance on human detection of features.

Abstract: A method for assessing, by a robot, a feature of an environment based on data from one of the plurality of sensors, wherein the robot is positioned in the environment includes comparing, by the robot, the feature of the environment to an expected feature of the environment; creating, by the robot, a feedback loop based on the comparing step; and adjusting an operational condition of the robot based on the feedback loop.

Abstract: Robotic systems and associated methods are described herein. The robotic system may collect measurements from various sensors corresponding to motion of the robotic system, the surrounding environment of the robotic system, or both. The robotic system may generate measurement data based on the collected measurements. Measurements from a particular sensor may be processed in conjunction with different sensors of the robotic system, which may facilitate more accurate or more useful measurement data. The systems and methods of the present disclosure enable the detection, labeling, and locating of features in real time or near real time using the robotic system with little or no reliance on human interaction to detect and map the features. The disclosure provides enhanced accuracy and efficiency as it enhances the functionality and reduces the reliance on human detection of features.

Abstract: A method and system for using a remote cutter to make cuts, for example in a pipe liner. An automated cutting path is computed for a cutting tool as a function of shape and position data relating to an opening of the branch conduit into the main pipe. The cutting tool is moved along the computed cutting path to cut the liner for reestablishing fluid communication between a branch conduit extending from a host pipe and the lined main pipe.

Abstract: Robotic systems and associated methods are described herein. The robotic system may collect measurements from various sensors corresponding to motion of the robotic system, the surrounding environment of the robotic system, or both. The robotic system may generate measurement data based on the collected measurements. Measurements from a particular sensor may be processed in conjunction with different sensors of the robotic system, which may facilitate more accurate or more useful measurement data. The systems and methods of the present disclosure enable the detection, labeling, and locating of features in real time or near real time using the robotic system with little or no reliance on human interaction to detect and map the features. The disclosure provides enhanced accuracy and efficiency as it enhances the functionality and reduces the reliance on human detection of features.

Abstract: A robot and method of controlling a tool carried by a robot in a main pipe where the tool is operable to extend into a branch conduit extending from the main pipe. The robot can be moved to a location in the main pipe corresponding to a branch conduit opening location where the branch conduit opens into the main pipe by referencing a digital map of the main pipe. The tool can be extended from the robot toward the branch conduit opening at an angle corresponding to an angle the branch conduit makes with the main pipe so as to reduce the likelihood of contact of the tool with a wall of the branch conduit.

Abstract: A method and system for reestablishing fluid communication between a main pipe and a branch conduit includes moving a robot down the lined main pipe. Visual images of the liner in the main pipe are transmitted from a camera associated with the robot to a monitor outside of the main pipe for viewing by a human operator. An interior view of the lined main pipe from the transmitted visual images is displayed on the monitor. An image representing the location of the branch conduit opening is superimposed on the monitor so that the image appears on the monitor to be located on the liner as shown in the interior view.

Abstract: A method for controlling movement of a robot in an environment, wherein the robot has a plurality of sensors associated therewith.

Abstract: A method and system for locating a branch conduit opening into a main pipe following lining the main pipe with a liner includes moving a robot down the lined main pipe and scanning the liner using an infrared scanner mounted on the robot. A temperature drop outside the liner as compared to the adjacent surfaces to acquire infrared data is sensed with an infrared scanner. The infrared data is compared with other location data regarding the branch conduit opening and a branch conduit opening location outside of the liner is determined based on the infrared data and the other data. In another aspect, the infrared scanner is tuned to more particularly sense temperatures associated with the presence of a branch conduit opening.

Abstract: An image may be received from a sensor associated with a capture area. Background elements associated with the capture area may be removed and a cleaned image generated. Objects may then be detected in this cleaned image. A spatial partition model may be generated to understand z-index and partially obscured areas while preserving relative object sizes. This model may be used to determine and remove foreground elements that may obstruct objects of interest. Object detection may be performed again on the further cleaned image. Detected objects may be filtered based on predefined criteria for different object classes.