Abstract:
Provided are systems and methods for generating an autonomous 3D inspection plan for an unmanned robot. In an example, the method may include receiving a selection of a plurality of regions of interest with respect to a virtual asset displayed in virtual space, detecting a 3D position of the regions of interest within a coordinate frame of the virtual space, auto-generating a travel path about a physical asset corresponding to the virtual asset by generating a virtual 3D travel path with respect to the virtual asset based on the detected 3D positions of the selected regions of interest within the coordinate frame, aligning the virtual 3D travel path in the virtual space with a physical travel path in a physical space, and outputting a robotic inspection plan comprising the auto-generated physical travel path for the unmanned robot.
Abstract:
A system and method for guiding and coordinating vehicular traffic determine tasks to be completed by vehicles in a transportation network in order to complete an objective, allocate the tasks among the vehicles, and determine sets of allowable actions for the vehicles based on the allocation of the tasks. The sets of allowable actions dictate plural different allowable actions that the vehicles are allowed to perform in order to complete the tasks allocated to the vehicles. The allowable actions are determined such that the vehicles are scheduled to complete the tasks and complete the objective without the vehicles colliding or blocking movement of each other. The allowable actions are communicated to the vehicles such that the vehicles are permitted to select one or more of the allowable actions and prohibited from performing one or more other actions during performance of the tasks allocated to the vehicles.
Abstract:
A system and method for guiding and coordinating vehicular traffic determine tasks to be completed by vehicles in a transportation network in order to complete an objective, allocate the tasks among the vehicles, and determine sets of allowable actions for the vehicles based on the allocation of the tasks. The sets of allowable actions dictate plural different allowable actions that the vehicles are allowed to perform in order to complete the tasks allocated to the vehicles. The allowable actions are determined such that the vehicles are scheduled to complete the tasks and complete the objective without the vehicles colliding or blocking movement of each other. The allowable actions are communicated to the vehicles such that the vehicles are permitted to select one or more of the allowable actions and prohibited from performing one or more other actions during performance of the tasks allocated to the vehicles.
Abstract:
Modifying a motion plan for an autonomously-operated inspection platform (AIP) includes obtaining sensor data for an industrial asset area of interest, analyzing the obtained sensor data during execution of an initial motion plan to determine if modification of the initial motion plan is required. If modification is required then performing a pose estimation on a first group of potential targets and a second group of potential targets, optimizing the results of the pose estimation to determine a modification to the initial motion plan, performing reactive planning to the initial motion plan to include the modification, the reactive planning providing a modified motion plan that includes a series of waypoints defining a modified path, and autonomously controlling motion of the AIP along the modified path. The analysis, pose estimation, optimization, and reactive planning occurring during movement of the AIP along a motion plan. A system and computer-readable medium are disclosed.
Abstract:
A processing system having at least one processor operatively coupled to at least one memory. The processor receives sensor data from the at least one sensor indicating one or more characteristics of the asset. The processor generates, updates, or maintains a digital representation that models the one or more characteristics of the asset. The processor detects a defect of the asset based at least in part on the one or more characteristics. The processor generate an output signal encoding or conveying instructions to provide a recommendation to an operator, to control the at least one robot to address the defect on the asset, or both, based on the defect and the digital representation of the asset.
Abstract:
A system and method for guiding and coordinating vehicular traffic determine tasks to be completed by vehicles in a transportation network in order to complete an objective, allocate the tasks among the vehicles, and determine sets of allowable actions for the vehicles based on the allocation of the tasks. The sets of allowable actions dictate plural different allowable actions that the vehicles are allowed to perform in order to complete the tasks allocated to the vehicles. The allowable actions are determined such that the vehicles are scheduled to complete the tasks and complete the objective without the vehicles colliding or blocking movement of each other. The allowable actions are communicated to the vehicles such that the vehicles are permitted to select one or more of the allowable actions and prohibited from performing one or more other actions during performance of the tasks allocated to the vehicles.
Abstract:
A method for identifying variations in aircraft operational parameters includes processing a four-dimensional (4D) aircraft trajectory for a flight along a defined route. The method also includes determining an aircraft intent corresponding to the flight along the defined route based at least in part on an aircraft performance model from a trajectory predictor. The aircraft intent includes multiple segments and corresponding intent parameters. In addition, the method includes adjusting the intent parameters such that a computed 4D trajectory substantially corresponds to the 4D aircraft trajectory. The method further includes determining a computed operational parameter based at least in part on the computed 4D trajectory and the aircraft performance model from the trajectory predictor. In addition, the method includes identifying variations between the computed operational parameter and a corresponding measured operational parameter.
Abstract:
System and methods may evaluate and/or improve target aiming accuracy for a sensor of an Unmanned Aerial Vehicle (“UAV”). According to some embodiments, a position and orientation measuring unit may measure a position and orientation associated with the sensor. A pose estimation platform may execute a first order calculation using the measured position and orientation as the actual position and orientation to create a first order model. A geometry evaluation platform may receive planned sensor position and orientation from a targeting goal data store and calculate a standard deviation for a target aiming error utilizing: (i) location and geometry information associated with the industrial asset, (ii) a known relationship between the sensor and a center-of-gravity of the UAV, (iii) the first order model as a transfer function, and (iv) an assumption that the position and orientation of the sensor have Gaussian-distributed noises with zero mean and a pre-determined standard deviation.
Abstract:
Provided are systems and methods for generating an autonomous 3D inspection plan for an unmanned robot. In an example, the method may include receiving a selection of a plurality of regions of interest with respect to a virtual asset displayed in virtual space, detecting a 3D position of the regions of interest within a coordinate frame of the virtual space, auto-generating a travel path about a physical asset corresponding to the virtual asset by generating a virtual 3D travel path with respect to the virtual asset based on the detected 3D positions of the selected regions of interest within the coordinate frame, aligning the virtual 3D travel path in the virtual space with a physical travel path in a physical space, and outputting a robotic inspection plan comprising the auto-generated physical travel path for the unmanned robot.
Abstract:
A method includes receiving, via at least one sensor of a robot, sensor data indicating one or more characteristics of an asset. The method includes detecting, based on the sensor data, an existing or imminent defect of the asset. The method includes fabricating a part suitable for use in correcting the defect. The structure of the part is derived using one or both of a digital representation of the asset generated using the sensor data or stored reference data related to the asset.