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 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: 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: 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: 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 data storage system may store a first data block having a first data configuration generated by a host in a non-volatile memory that is connected to a data module. A data strategy may be generated with the data module in response to the storage of data with the data strategy consisting of at least one trigger associated with identifying the first data block as hot. The first data block can be replicated to a different memory location with a second data configuration as directed by the data strategy with the first data configuration being different than the second data configuration.

Abstract: An improved method can be obtained for combining multiple data sets of a single subject to form a single representation of the subject, such as an environment. The method uses a small set of alignment points and scanning the environment from a first position, repositioning the scanning system to take a scan of the same environment from a second position, and labeling the same alignment points to the extent they are visible from the second location. The alignment points may be static points of interest in the environment or they may be placed in the environment by the user to denote the location of common reference points.

Abstract: An improved measuring device has been developed by combining a visual detector such as a camera, digital distance measuring device, and a positional sensor. The system uses positional measurements of the device along with distance measurements to generate a point cloud and uses the visual image along with distance measurements to identify and label objects. The point cloud and labeled objects are combined to generate a schematic of the environment being measured and extract relevant measurements.

Abstract: A system can log data access activity to a memory array with a metadata module while the memory array is logically divided into multiple namespaces. A workload can be determined for each namespace by the metadata module and a metadata strategy can be created with the metadata module in view of the respective namespace workloads. A first metadata and second metadata may be generated for respective first and second user-generated data for storage into a first namespace of the multiple namespaces. The first metadata can be compressed with a compression level prescribed by the metadata strategy in response to a detected or predicted workload to the first namespace before the first metadata, second metadata, first user-generated data, and second user-generated data are each stored in the first namespace.

Abstract: A solid-state memory may have many non-individually erasable memory cells arranged into dies with each die having a first plane and a second plane. Receipt of a single read command from a host connected to the solid-state memory can prompt generation of a first reference voltage and a second reference voltage by the controller to produce asynchronous data retrieval. The reference voltages can be different and selected by the controller to induce a predetermined delay between retrieval of data from the first plane and retrieval of data from the second plane from the single read command. Passage of each reference voltage concurrently to a common single data address of the first plane and the second plane may produce asynchronous retrieval of data from the respective first plane and second plane.

Abstract: Method and apparatus for enhancing performance of a storage device, such as a solid-state drive (SSD). In some embodiments, the storage device monitors a rate at which client I/O access commands are received from a client to transfer data with a non-volatile memory (NVM) of the storage device. A ratio of background access commands to the client I/O access commands is adjusted to maintain completion rates of the client I/O access commands at a predetermined level. The background access commands transfer data internally with the NVM to prepare the storage device to service the client I/O access commands, and can include internal reads and writes to carry out garbage collection and metadata map updates. The ratio may be adjusted by identifying a workload type subjected to the storage device by the client.

Abstract: Apparatus and method for managing metadata in a data storage device such as a solid-state drive (SSD). The metadata are stored in combined (combo) pages in a non-volatile memory (NVM) each having first and second level map entries. The second level map entries provide a logical-to-physical address translation layer for user data blocks stored to the NVM, and the first level map entries describe the second level map entries in the combo page. A global map structure is accessed to identify a selected combo page in the NVM associated with a pending access command. The first and second level map entries are retrieved from the combo page, and the second level map entries are used to identify a target location for the transfer of user data blocks to or from the NVM.

Abstract: Method and apparatus for managing data in a cloud computing environment. In accordance with some embodiments, data updates are received to a multi-tier memory structure across a cloud network and stored as working data in an upper rewritable non-volatile memory tier of the memory structure. The working data are periodically logged to a lower non-volatile memory tier in the memory structure while a current version of the working data remain in the upper memory tier. The upper and lower memory tiers each are formed of rewritable memory cells having different constructions and storage attributes.