Abstract: A computer includes a processor and a memory, and the memory stores instructions executable by the processor to receive sensor data indicating an obstacle, formulate a first control barrier function for a vehicle based on the sensor data, formulate a second control barrier function for a trailer hitched to the vehicle based on the sensor data, determine a control input based on the first and second control barrier functions, and actuate a component of the vehicle according to the control input.

Abstract: A computer includes a processor and a memory, the memory storing instructions executable by the processor to receive sensor data indicating an obstacle, formulate a control barrier function for a vehicle based on the sensor data, determine a control input based on the control barrier function, and actuate a component of the vehicle according to the control input. The control barrier function is defined with respect to a reference point that is spaced from a centroid of the vehicle.

Abstract: A system includes a processor and a memory. The memory stores instructions executable by the processor to determine a virtual barrier around a vehicle based on receiving a first user input and data indicating a vehicle sprung mass, upon receiving a second user input selecting the virtual barrier, to determine an updated virtual barrier based on the received second user input, upon determining the virtual barrier, to verify that the virtual barrier satisfies one or more vehicle parameters; and to provide output based on the virtual barrier.

Abstract: A computer includes a processor and a memory, and the memory stores instructions executable by the processor to receive sensor data indicating an obstacle, formulate a control barrier function for a vehicle and the obstacle based on the sensor data, determine a control input based on the control barrier function and a combination function, and actuate a component of the vehicle according to the control input. The combination function is a sum of a first function weighted by a first weight and a second function weighted by a second weight, and the first weight and the second weight are based on a kinematic state of the obstacle.

Abstract: A computer includes a processor and a memory, and the memory stores instructions executable by the processor to receive sensor data indicating an obstacle, formulate a first control barrier function for a vehicle based on the sensor data, formulate a second control barrier function for a trailer hitched to the vehicle based on the sensor data, determine a control input based on the first and second control barrier functions, and actuate a component of the vehicle according to the control input.

Abstract: A system for detecting a road surface includes a computer programmed to determine a virtual boundary for a vehicle body based on a shape of the vehicle body, upon identifying an object, to identify a plurality of points on the object based on received sensor data, to determine a barrier function based on each of the identified plurality of points, wherein the barrier function includes a barrier distance from a reference point of the virtual boundary of the vehicle to a respective one of the points on the object, based on (i) the determined barrier functions, (ii) the determined virtual boundary of the vehicle, and (iii) an input to at least one of propulsion, steering, or braking, to determine at least one of a braking override or a steering override, and based on the determination, to adjust at least one of a vehicle steering or a vehicle speed.

Abstract: A system for detecting a road surface includes a processor and a memory. The memory stores instructions executable by the processor to determine a virtual boundary for a vehicle body based on a shape of the vehicle body, to identify one or more objects based on vehicle sensor data, based on the identified one or more objects, the determined virtual boundary, and an input to at least one of propulsion, steering, or braking, to determine at least one of a braking override or a steering override, and based on the determination, to perform at least one of adjusting a vehicle steering and a vehicle speed.

Abstract: A controller for controlling a motion of at least one device subject to constraints on the motion, is disclosed. The controller comprises a processor and a memory, where the controller inputs parameters of the task including the state of the at least one device to a neural network trained to output an estimated motion trajectory for performing the task. Further, the controller extracts at least some of the integer values of a solution to a mixed-integer optimization problem for planning an execution of the task that results in the estimated motion trajectory. Further, the controller solves the mixed-integer optimization problem for the parameters of the task with corresponding integer values fixed to the extracted integer values to produce an optimized motion trajectory subject to the constraint and changes the state of the at least one device to track the optimized motion trajectory.

Abstract: An energy allocation system may include a group of agents, each agent corresponding to a device requesting an amount of energy. The energy allocation system may perform a comparison, such as a hybridized comparison, between a selected agent and each other agent included in the group. Based on the outcome of each comparison for the selected agent, an aggregated outcome for the selected agent is determined. The aggregated outcome for the selected agent is compared to a threshold for the energy allocation system. Based on the comparison of the aggregated outcome to the threshold, the selected agent either receives the requested amount of energy or receives an instruction to enter a low-power state.

Abstract: An energy allocation system may include a group of agents, each agent corresponding to a device requesting an amount of energy. The energy allocation system may perform a comparison, such as a hybridized comparison, between a selected agent and each other agent included in the group. Based on the outcome of each comparison for the selected agent, an aggregated outcome for the selected agent is determined. The aggregated outcome for the selected agent is compared to a threshold for the energy allocation system. Based on the comparison of the aggregated outcome to the threshold, the selected agent either receives the requested amount of energy or receives an instruction to enter a low-power state.