Abstract: Vehicles according to at least some embodiments of the disclosure include a sensor, and a computing device comprising at least one hardware processing unit. The computing device is programmed to perform operations comprising capturing an image with the sensor, identifying an object in the image, and in response to an accuracy of the identification meeting a first criterion, pre-loading a braking system of the autonomous vehicle. In some aspects, the computing device may predict that an obj ect not currently within a path of the vehicle has a probability of entering the path of the vehicle that meets a second criterion. When the probability of entering the path meets the second criterion, some of the disclosed embodiments may pre-load the braking system.

Abstract: The present disclosure provides CRISPC-Cas systems for the creating mutated genes within cells within wells of an addressable well plate.

Abstract: Vehicles according to at least some embodiments of the disclosure include a sensor, and a computing device comprising at least one hardware processing unit. The computing device is programmed to perform operations comprising capturing an image with the sensor, identifying an object in the image, and in response to an accuracy of the identification meeting a first criterion, pre-loading a braking system of the autonomous vehicle. In some aspects, the computing device may predict that an object not currently within a path of the vehicle has a probability of entering the path of the vehicle that meets a second criterion. When the probability of entering the path meets the second criterion, some of the disclosed embodiments may pre-load the braking system.

Abstract: Systems and methods for exchanging clinical data among parties involved in a clinical trial. The system comprises a clinical data exchange controller, a first repository and a second repository. Repository configuration information comprises: a connection to a target repository, scope of capacities, and a rule set. Repository configuration information for the first repository is received at the first repository, and repository configuration information for the second repository is received at the second repository. When there is a change defined in the rule set happened in the first repository, a request for data transfer is sent to the clinical data exchange controller, and the clinical data exchange controller then transfers the data to the target repository based on the rule set.

Abstract: Various examples are directed to systems and methods for operating a vehicle comprising a tractor and a trailer attached for pulling behind the tractor. A center-of-mass system may determine a mass of the trailer and a tractor understeer. The center-of-mass system may determine the tractor understeer using steering input data describing a steering angle of the tractor and yaw data describing a yaw of the tractor. The center-of-mass system may determine a load center of mass using the tractor understeer and a mass of the trailer. The center-of-mass system may further determine that the load center of mass transgresses a center-of-mass threshold and send an alert message indicating that the load transgresses the load center-of-mass threshold.

Abstract: Various examples are directed to systems and methods for operating a vehicle comprising a tractor and a trailer attached for pulling behind the tractor. A center-of-mass system may determine a mass of the trailer and a tractor understeer. The center-of-mass system may determine the tractor understeer using steering input data describing a steering angle of the tractor and yaw data describing a yaw of the tractor. The center-of-mass system may determine a load center of mass using the tractor understeer and a mass of the trailer. The center-of-mass system may further determine that the load center of mass transgresses a center-of-mass threshold and send an alert message indicating that the load transgresses the load center-of-mass threshold.

Abstract: A simulated environment includes a motion control system. The motion control system comprises a suspension structure, a housing slidably engaged to the suspension structure such that the suspension controller translates in a planar manner relative to the suspension structure. A rotary component is rotatably attached to the housing. A plurality of winches are attached to the rotary component, the plurality of winches having cables to allow longitudinal movement of the cables parallel to a force of gravity.

Abstract: The flow of teams of one or more players is controlled through different geographical areas of a mixed virtual reality and physical experience that takes place on an attraction stage. The geographical areas may include rooms, compartments, or other geographical areas through which a team may progress. Within each geographical area, a team may engage in an experience and accomplish one or more checkpoints. Based on the time to achieve each checkpoint, the experience may be shortened or lengthened, either within the particular geographical area or the experience as a whole, to control the flow of the particular team through the series of geographical areas.

Abstract: In part, the disclosure related to systems and methods of merging a simulation experience with physical objects and sensory stimuli generated outside of the simulation in a controlled physical environment to enhance the simulated experience.

Abstract: The flow of teams of one or more players is controlled through different geographical areas of a mixed virtual reality and physical experience that takes place on an attraction stage. The geographical areas may include rooms, compartments, or other geographical areas through which a team may progress. Within each geographical area, a team may engage in an experience and accomplish one or more checkpoints. Based on the time to achieve each checkpoint, the experience may be shortened or lengthened, either within the particular geographical area or the experience as a whole, to control the flow of the particular team through the series of geographical areas.

Abstract: In example implementations, an apparatus is provided. The apparatus includes a plurality of power outputs, a logic controller and a single switch. Each one of the plurality of power outputs is communicatively coupled to a respective current/power sensor. The logic controller is communicatively coupled to the respective current/power sensor of each one of the plurality of power outputs. The single switch is communicatively coupled to the logic controller and the respective current/power sensor of each one of the plurality of power outputs. Power to each one of the plurality of power outputs is controlled by the logic controller via the single switch.

Abstract: Systems and methods for compensating for acceleration-related sensor mismatch of an autonomous vehicle are provided. A computing system for compensating for autonomous vehicle acceleration-related sensor mismatch can include one or more processors and one or more tangible, non-transitory, computer readable media that collectively store instructions that when executed by the one or more processors cause the computing system to perform operations. The operations can include obtaining data indicative of an acceleration mismatch between a first portion and a second portion of an autonomous vehicle. The operations can further include determining a sensor compensation action based at least in part on the data indicative of the acceleration mismatch. The operations can further include implementing the sensor compensation action for the autonomous vehicle.

Abstract: The present invention is a catheter actuation handle for deflecting a distal end of a tubular catheter body, the handle including an auto-locking mechanism. The handle comprises upper and lower grip portions, an actuator, and an auto-locking mechanism. The auto-locking mechanism is adapted to hold a deflected distal end of the catheter in place without input from the operator. When the distal end of the catheter is deflected from its zero position, it typically will seek a return to its zero position, and as a result exerts a force on the actuator. The auto-locking mechanism acts by providing a second force that resists this force from the distal end and holds the distal end in place. As a result, the operator does not need to maintain contact with the buttons to maintain the distal end 18 in a set position once placed there by actuating the actuator.

Abstract: One variation of a method for delivering a digital medicine experience to a user includes: loading the digital medicine experience at a sensory immersion vessel; calculating a target value of a bioindicator of the physiological state of the user, the target value of the bioindicator corresponding to a target physiological state of the user; at an initial time, rendering sensory representations of a set of elements in a multi-sensory virtual environment within the sensory immersion vessel at an initial progression rate; at a time during the digital medicine experience, succeeding the initial time, measuring a value of the bioindicator; calculating a progression rate through the digital medicine experience based on a difference between the value of the bioindicator and the target value of the bioindicator; and at a second time succeeding the time, rendering sensory representations of the set of elements in the multi-sensory virtual environment at the progression rate.

Abstract: Disclosed are systems, methods, and computer-readable storage media to control a vehicle. In one aspect, a method includes capturing point-cloud data representative of a surrounding of an autonomous vehicle with one or more LIDAR sensors, identifying a point in the point cloud data as a non-matching point in response to the point having no corresponding point in a map used to determine a position of the autonomous vehicle, determining whether the non-matching point is to be used in a determination of an overlap score based on one or more comparisons of the point cloud data and the map, determining the overlap score in response to the determining whether the non-matching point is to be used in the determination of the overlap score, determining a position of the autonomous vehicle based on the overlap score and the map, and controlling the autonomous vehicle based on the position.

Abstract: Vehicles according to at least some embodiments of the disclosure include a sensor, and a computing device comprising at least one hardware processing unit. The computing device is programmed to perform operations comprising capturing an image with the sensor, identifying an object in the image, and in response to an accuracy of the identification meeting a first criterion, pre-loading a braking system of the autonomous vehicle. In some aspects, the computing device may predict that an object not currently within a path of the vehicle has a probability of entering the path of the vehicle that meets a second criterion. When the probability of entering the path meets the second criterion, some of the disclosed embodiments may pre-load the braking system.

Abstract: Various examples are directed to systems and methods for at least partially controlling a vehicle. A vehicle system may access motion plan data for the vehicle. The vehicle system may generate drivetrain bias data representative of drivetrain effects of the vehicle. The vehicle system may generate a biased throttle command using the motion plan data and the drivetrain bias data and apply the biased throttle command to a propulsion system of the vehicle.

Abstract: Various examples are directed to systems and methods of monitoring a vehicle. At least one processor unit may access first slope data indicative of a first slope referenced to a cab of the vehicle and access second slope data indicative of a second slope independent of the cab of the vehicle. The at least one processor unit may generate cab tilt data indicative of a cab tilt of the cab using the first slope data and the second slope data.

Abstract: Various examples are directed to systems and methods for operating a vehicle comprising a tractor and a trailer attached for pulling behind the tractor. A center-of-mass system may determine a mass of the trailer and a tractor understeer. The center-of-mass system may determine the tractor understeer using steering input data describing a steering angle of the tractor and yaw data describing a yaw of the tractor. The center-of-mass system may determine a load center of mass using the tractor understeer and a mass of the trailer. The center-of-mass system may further determine that the load center of mass transgresses a center-of-mass threshold and send an alert message indicating that the load transgresses the load center-of-mass threshold.

Abstract: Systems and methods for compensating for acceleration-related sensor mismatch of an autonomous vehicle are provided. A computing system for compensating for autonomous vehicle acceleration-related sensor mismatch can include one or more processors and one or more tangible, non-transitory, computer readable media that collectively store instructions that when executed by the one or more processors cause the computing system to perform operations. The operations can include obtaining data indicative of an acceleration mismatch between a first portion and a second portion of an autonomous vehicle. The operations can further include determining a sensor compensation action based at least in part on the data indicative of the acceleration mismatch. The operations can further include implementing the sensor compensation action for the autonomous vehicle.