Abstract: An apparatus for controlling tool face and methods of use with a torque generator connected to a drill string for drilling linear and nonlinear subterranean bore segments. In some embodiments, the apparatus and methodologies of use comprise a tool controller having an outer housing independently rotatable from and extension conduit extending therethrough and forming an annulus therebetween. The tool controller may provide for a first fluid pathway for allowing a bypass portion of fluids to flow through the torque generator, and a second fluid pathway through the annulus for allowing a torque generator portion of fluids to flow through the annulus. In some embodiments, at least one fluid flow restrictor may be provided within the annulus to controllable cause a cascading reduction in torque generator fluid pressure as it flows through the annulus, allowing high resolution tool face control over a larger (and tunable) range of drill string speed (rpm) set points.

Abstract: An apparatus for controlling tool face and methods of use with a torque generator connected to a drill string for drilling linear and nonlinear subterranean bore segments. In some embodiments, the apparatus and methodologies of use comprise a tool controller having an outer housing independently rotatable from and extension conduit extending therethrough and forming an annulus therebetween. The tool controller may provide for a first fluid pathway for allowing a bypass portion of fluids to flow through the torque generator, and a second fluid pathway through the annulus for allowing a torque generator portion of fluids to flow through the annulus. In some embodiments, at least one fluid flow restrictor may be provided within the annulus to controllable cause a cascading reduction in torque generator fluid pressure as it flows through the annulus, allowing high resolution tool face control over a larger (and tunable) range of drill string speed (rpm) set points.

Abstract: Systems and methods provide for an automated system for analyzing damage to process claims and pre-claim consultations associated with an insured item, such as a vehicle. An enhanced claims processing server may analyze damage associated with the insured item using photos/video transmitted to the server from a user device (e.g., a mobile device). The mobile device may receive feedback from the server regarding the acceptability of submitted photos/video, and if the server determines that any of the submitted photos/video is unacceptable, the mobile device may capture additional photos/video until all of the data are deemed acceptable. In addition, the server may interface with third party entities such as repair shops and may generate a payment for compensating a claimant for repair of the insured item.

Abstract: Systems and methods provide for an automated system for analyzing damage to process claims and pre-claim consultations associated with an insured item, such as a vehicle. An enhanced claims processing server may analyze damage associated with the insured item using photos/video transmitted to the server from a user device (e.g., a mobile device). The mobile device may receive feedback from the server regarding the acceptability of submitted photos/video, and if the server determines that any of the submitted photos/video is unacceptable, the mobile device may capture additional photos/video until all of the data are deemed acceptable. In addition, the server may interface with third party entities such as repair shops and may generate a payment for compensating a claimant for repair of the insured item.

Abstract: A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to: estimate a slip condition corresponding to at least one vehicle wheel; and generate, via an explicit Nonlinear Model Predictive Control (NMPC) module, control data for operating the at least one vehicle wheel based on the estimated slip condition. The explicit Nonlinear Model Predictive Control (NMPC) module includes a feedforward control module that is configured to generate adjustment data based on the estimated slip condition, wherein the adjustment data modifies the control data.

Abstract: A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to: predict, at a trained machine learning classifier, a target slip value based on a predicted slip slope and a predicted road texture, wherein the predicted slip slope and the predicted road texture are determined using sensor data representing tire forces and modify at least one vehicle action based on the target slip value when a confidence level value corresponding to the target slip value is greater than or equal to a confidence level threshold.

Abstract: Systems and methods provide for an automated system for analyzing damage to process claims and pre-claim consultations associated with an insured item, such as a vehicle. An enhanced claims processing server may analyze damage associated with the insured item using photos/video transmitted to the server from a user device (e.g., a mobile device). The mobile device may receive feedback from the server regarding the acceptability of submitted photos/video, and if the server determines that any of the submitted photos/video is unacceptable, the mobile device may capture additional photos/video until all of the data are deemed acceptable. In addition, the server may interface with third party entities such as repair shops and may generate a payment for compensating a claimant for repair of the insured item.

Abstract: Systems and methods provide for an automated system for analyzing damage to process claims and pre-claim consultations associated with an insured item, such as a vehicle. An enhanced claims processing server may analyze damage associated with the insured item using photos/video transmitted to the server from a user device (e.g., a mobile device). The mobile device may receive feedback from the server regarding the acceptability of submitted photos/video, and if the server determines that any of the submitted photos/video is unacceptable, the mobile device may capture additional photos/video until all of the data are deemed acceptable. In addition, the server may interface with third party entities such as repair shops and may generate a payment for compensating a claimant for repair of the insured item.

Abstract: Systems and methods provide for an automated system for analyzing damage to process claims and pre-claim consultations associated with an insured item, such as a vehicle. An enhanced claims processing server may analyze damage associated with the insured item using photos/video transmitted to the server from a user device (e.g., a mobile device). The mobile device may receive feedback from the server regarding the acceptability of submitted photos/video, and if the server determines that any of the submitted photos/video is unacceptable, the mobile device may capture additional photos/video until all of the data are deemed acceptable. In addition, the server may interface with third party entities such as repair shops and may generate a payment for compensating a claimant for repair of the insured item.

Abstract: Systems and methods provide for an automated system for analyzing damage to process claims and pre-claim consultations associated with an insured item, such as a vehicle. An enhanced claims processing server may analyze damage associated with the insured item using photos/video transmitted to the server from a user device (e.g., a mobile device). The mobile device may receive feedback from the server regarding the acceptability of submitted photos/video, and if the server determines that any of the submitted photos/video is unacceptable, the mobile device may capture additional photos/video until all of the data are deemed acceptable. In addition, the server may interface with third party entities such as repair shops and may generate a payment for compensating a claimant for repair of the insured item.