Abstract: A computer includes a processor and a memory, and the memory stores instructions executable by the processor to provide an identification of an occupant of a vehicle to a plurality of virtual-meeting platforms, receive data indicating a plurality of virtual meetings at respective start times for the occupant from the virtual-meeting platforms, connect a user interface of the vehicle to a first one of the virtual meetings through a first virtual-meeting platform of the virtual meeting platforms at the respective start time, and connect the user interface to a second one of the virtual meetings through a second virtual-meeting platform of the virtual meeting platforms at the respective start time.

Abstract: A method for calibrating a map of an autonomous robot, a trajectory of the autonomous robot, or a combination thereof includes obtaining localization data from a localization sensor of the autonomous robot and determining whether a calibration condition of the autonomous robot is satisfied based on the localization data. The method includes, in response to the calibration condition being satisfied: determining a master position coordinate of the autonomous robot based on a plurality of radio frequency (RF) signals broadcasted by a plurality of RF tags, converting the master position coordinate to a local position coordinate of the autonomous robot, and selectively updating the map, the trajectory, or a combination thereof based on the local position coordinate of the autonomous robot.

Abstract: A system and method of planning external electric power usage of a vehicle traction battery includes retrieving, remotely from the vehicle, data including a current charge level of a traction battery in the vehicle and an estimated range of the vehicle based on the charge level. Input of planned power usage of the traction battery by a set of devices is input remotely from the vehicle. An estimated change of the current charge level is determined based upon the planned power usage based on the current charge level, the estimated range, and the planned power usage. Based on the estimated change of the current charge level, a revised charge level of the traction battery and a revised estimated range of the vehicle is determined, and the revised charge level of the traction battery and the revised estimated range of the vehicle is output to a user computing device.

Abstract: Embodiments are directed towards a process for producing a (poly)alkylene glycol monoalkyl ether. The process includes providing an admixture of a crystalline metallosilicate molecular sieve catalyst and an oxide of a metal and reacting in a liquid phase process an olefin and a (poly)alkylene glycol in the presence of the admixture to yield the (poly)alkylene glycol monoalkyl ether. Reacting the olefin and the (poly)alkylene glycol in the presence of the admixture is at a temperature of 80° C. to 200° C.

Abstract: Systems and methods for mitigating certain spoofing of vehicle features are disclosed herein. An example method can include determining input torque values obtained from a steering torque sensor associated with a steering wheel of a vehicle, wherein the input torque values are obtained over a period of time, determining road disturbances using a road disturbance model, applying a driver model that is indicative of human driver hands-on-wheel behaviors, determining when input torque values are indicative of a spoof or human interaction with the steering wheel using the input torque values, the road disturbance model, and the driver model, and executing a remediating measure when the input torque values are indicative of the spoof.

Abstract: A system includes a processor to execute instructions to, upon instantiation of a control application in a vehicle, retrieve (a) configuration data specifying one or more features available to the control application in the vehicle, and (b) settings data specifying one or more current settings for the control application; monitor a vehicle network for request from a remote device for a selected feature of the control application in the vehicle; determine from the configuration data whether the selected feature is included in the one or more features available to the control application in the vehicle; and, if the selected feature is included, actuate a component in the vehicle based on the selected feature and the settings data.

Abstract: Guided driver positioning system and methods are disclosed herein. An example method can include determining gait for a user of a vehicle from images obtained from a camera, the gait being indicative of a posture of the user, determining a distance between the user and a display of the vehicle, and automatically adjusting a vehicle component in response to the gait and the distance to change a user position relative to the display.

Abstract: Polyethylene compositions are disclosed that may have a density of 0.910 g/cm3 to 0.924 g/cm3 and a melt index (I2) In of 0.1 g/10 minutes to 0.5 g/10 minutes and include a first polyethylene fraction area in the temperature range from 45° C. to 80° C. of an elution profile via improved comonomer composition distribution (iCCD) analysis method; a second polyethylene fraction area in the temperature range from 80° C. to 95° C. of the elution profile, and a third polyethylene fraction area in the temperature range from 95° C. to 110° C. of the elution profile. The second polyethylene fraction area may include at least 5% of the total area of the elution profile. The third polyethylene fraction area may include at least 25% of the total area of the elution profile. A ratio of the first polyethylene fraction area to the second polyethylene fraction area may be from 6 to 15.

Abstract: A method for controlling one or more operational characteristics of a plurality of wireless access points of a manufacturing environment includes generating a plurality of state vectors based on network data associated with the plurality of wireless access points and identifying a set of actions from among a plurality of actions and associated with the plurality of state vectors. The method includes determining a reward for each action from among the set of actions, selecting a target action from among the set of actions based on the reward associated with each action from among the set of actions, and selectively adjusting the one or more operational characteristics of the plurality of wireless access points based on the target action.

Abstract: A method and system for navigating a vehicle based upon data of a group includes automatically determining a specific group identity for an operator and one or more occupants of a vehicle by digitally identifying the operator and the one or more occupants of the vehicle based upon Received Signal Strength Indication (RSSI) of a wireless network with multiple antennas in the vehicle to estimate localization of wireless devices of the operator and the one or more occupants, evaluating parameters associated with the specific group identity, and determining a path for the vehicle based upon the specific group identity.

Abstract: A computer includes a processor and a memory, and the memory stores instructions executable by the processor to receive data recorded in a plurality of vehicles, the data including a plurality of decisions about activating a feature of the vehicles and values of a plurality of variables; receive a plurality of decision scores indicating whether the respective decision was optimal according to the data recorded in the respective vehicle; determine an uncertainty function indicating an uncertainty of a likely value of the decision score based on the values of the variables; determine a set of conditions for the variables based on the uncertainty function; and transmit an instruction to the vehicles to record and upload data when the values of the variables satisfy the set of the conditions.

Abstract: A method of manufacturing a metal component includes performing a test stamping process on a test sheet metal blank, generating a strain map of the test sheet metal blank for the test stamping process, generating a lubrication program based on the strain map, applying lubrication to the sheet metal according to the lubrication program, and stamping the sheet metal to form the metal component. The lubrication program is configured to control a lubrication system to apply lubrication to sheet metal in a non-uniform distribution across the sheet metal. The non-uniform distribution correlates to the strain map.

Abstract: A method for verifying an alignment of one or more devices of a vehicle in a manufacturing environment includes selecting an alignment verification routine to be performed by an autonomous alignment verification mobile robot (AAVMR) and autonomously positioning the AAVMR based on a position of the vehicle and one or more displacements associated with the alignment verification routine. The method includes performing, using the AAVMR, the alignment verification routine to generate one or more alignment characteristics associated with the one or more devices and broadcasting a notification based on the one or more alignment characteristics.

Abstract: A plurality of layers of material are additively generated to form an internal channel within the part, the internal channel including an inlet and an outlet. A liquid colorant is flowed from the inlet to the outlet. The liquid colorant is diffused into walls of the internal channel. A second plurality of layers of material are additively generated to close the inlet and the outlet such that the internal channel is completely encapsulated within the part.

Abstract: Upon determining a first user of an object is authorized via first biometric data, object components are controlled based on user data for the first user. A second user is permitted to access the object based on detecting a presence of the second user within a predetermined time of detecting an absence of the first user. Then, upon determining a delay parameter is satisfied, a user status of the second user is determined via second biometric data. The user status is one of authorized or not authorized. The object components are controlled based on the user status of the second user.

Abstract: A vehicle assembly includes a cargo bed cover that covers a cargo bed of a vehicle when the cargo bed is in a standard bed position. The cargo bed cover is configured to provide an aft wall of the cargo bed when the cargo bed is in an extended bed position. A cargo bed providing method includes transitioning a cargo bed from a standard bed position to an extended bed position, and enclosing an aft end of the cargo bed with a cargo bed cover that covers the cargo bed when the cargo bed is in the standard bed position.

Abstract: A system includes a computer including a processor and a memory, the memory storing instructions executable by the processor to generate a synthetic image by adjusting respective color values of one or more pixels of a reference image based on a specified meteorological optical range from a vehicle sensor to simulated fog, and input the synthetic image to a machine learning program to train the machine learning program to identify a meteorological optical range from the vehicle sensor to actual fog.

Abstract: A system for assisting in aligning a vehicle for hitching with a trailer includes an imager outputting image data of a field of view to the rear of the vehicle and a controller identifying at least one of a trailer or a coupler of the trailer within the image data. The controller further determines that the at least one of the trailer or the coupler is outside of a specified area relative to the vehicle and outputs an instruction for movement of the vehicle determined to position the one of the trailer or the coupler within the specified area. Upon determining that the at least one of the coupler and the trailer is within the specified area, the coupler outputs a steering signal to the vehicle to cause the vehicle to steer to align a hitch ball of the vehicle with the coupler.

Abstract: A liveliness prediction output is provided from a liveliness biometric analysis task that is determined by a deep neural network based on an image provided from an image sensor wherein the liveliness biometric analysis task is performed in a deep neural network that includes a common feature extraction neural network and a plurality of task-specific neural networks including a face detection neural network, a body pose neural network and a liveliness neural network including a region of interest (ROI) detection neural network and a texture analysis neural network to determine the liveliness biometric analysis task by inputting the image to the common feature extraction neural network to determine latent variables. The latent variables can be input to the face detection neural network and the liveliness neural network. Output from the face detection neural network can be input to the ROI detection neural network.