Abstract: A method and system for providing corrective action to a rotorcraft experiencing motor failure is provided. Included in the method and system are embodiments that receive feedback from sensors directed at measuring a state of motors used to provide lift to the rotorcraft. The method and system also describe embodiments for determining that there is a malfunctioning motor, and furthermore, the appropriate corrective action for responding to the malfunctioning motor. In some embodiments, the method and system are configured to reduce power to the malfunctioning motor while simultaneously adjusting power supplied to the remaining motors such that changes in total thrust and net torque are minimized. Further, the method and system are configured to perform diagnostics on the malfunctioning motor while power is still being supplied to the first motor.

Abstract: The disclosure is generally directed to systems and methods for optimizing vehicle deployment. A software application is used to obtain information about a travel route. The information is used to evaluate an energy storage depletion characteristic of a battery that is used to operate a battery-operated vehicle and to determine whether the battery-operated vehicle can be deployed on the travel route. One of the factors that can affect the energy storage depletion characteristic of the battery is ambient temperature, because battery performance may be adversely affected by extreme temperatures. Consequently, a range of operation of the battery-operated vehicle may be impacted if the travel route has extreme ambient temperatures. If the evaluation indicates that the energy storage depletion characteristic of the battery is unsuitable for the travel route, another battery-operated vehicle with a better battery may be deployed on the travel route.

Abstract: Disclosed herein is a robot generating a map based on multi sensors and artificial intelligence and moving based on the map, the robot according to an embodiment including a controller generating a pose graph that includes a LiDAR branch including one or more LiDAR frames, a visual branch including one or more visual frames, and a backbone including two or more frame nodes registered with any one or more of the LiDAR frames or the visual frames, and generating orodometry information that is generated while the robot is moving between the frame nodes.

Abstract: A working method using an AUV includes a step of working on a work object with a work device included in the AUV while causing the AUV to sail along the work object, a step of dropping and sinking a transponder to the bottom of water, a step of causing the AUV to sail toward a return destination, and a step of resuming work on the work object by causing the AUV to sail from a return destination to the vicinity of a work suspended position, at which work on the work object is suspended, based on information obtained by acoustic positioning using the transponder that is sunk to the bottom of water.

Abstract: The unified command system and/or method includes an input mechanism, a flight processor that receives input from the input mechanism and translates the input into control output, and effectors that are actuated according to the control output. The system can optionally include: one or more sensors, a vehicle navigation system which determines a vehicle state and/or flight regime based on data from the one or more sensors, and a vehicle guidance system which determines a flightpath for the aircraft.

Abstract: An electric vehicle control method for braking of an electric vehicle applies a front braking torque to a front drive motor that drives a front wheel and applies a rear braking torque to a rear drive motor that drives a rear wheel. The method includes: during the braking, executing a torque limiting process (process B, process C, front braking torque control) that reduces the front braking torque and the rear braking torque when a slip of the front wheel is detected; and executing a distribution torque changing process that increases the front braking torque while maintaining a sum of the front braking torque and the rear braking torque when a slip of the rear wheel is detected.

Abstract: An apparatus and method control regenerative braking torque of an electric vehicle on which an anti-lock brake system (ABS) is mounted. The apparatus and method can compensate the regenerative braking torque of the driving motor based on the behavior model of the electric vehicle, such that the ABS is prevented from entering an operating range to the maximum limit to maximize the energy recovery rate through regenerative braking. The apparatus includes a disturbance extractor that extracts a disturbance in a specific frequency band from a difference between a behavior model and an actual behavior of the electric vehicle. The apparatus includes a torque compensator that compensates for the regenerative braking torque based on the disturbance extracted by the disturbance extractor.

Abstract: The present disclosure relates to a vehicular electronic device including a power supply configured to supply power, an interface configured to receive high-definition (HD) map data on a specific area from a server through a communication device, and at least one processor configured to continuously generate electronic horizon data on a specific area based on the HD map data in the state of receiving the power, wherein the processor generates first electronic horizon data on a first section, and, upon determining that a vehicle is traveling the first section again after having travelled the first section based on the first electronic horizon data, does not generate electronic horizon data on the first section.

Abstract: An agricultural harvester is disclosed. The agricultural harvester includes a cutting unit that has a cutting table adjustable in its cutting table length, a reel adjustable to a reel vertical position and reel longitudinal position, an inclined conveyor downstream from the cutting unit, and a driver assistance system. The driver assistance system autonomously determines, using at least one input variable, at least one machine parameter and specifies the machine parameter to the cutting unit. The machine parameter can include one or more of the cutting table length, the reel vertical position, or the reel longitudinal position. In particular, the driver assistance system may determine a harvested material throughput and a vibration coefficient describing the fluctuation in the harvested material throughput in a region lying in front of the threshing system and adapt or modify the cutting table length based on the determined vibration coefficient.

Abstract: An automated method for influencing a gust load of an aircraft is provided. A torque at least of an electromotive thrust generating unit arranged on a wing of the aircraft is modified such that a root bending torque of the wing generated by the gust load is reduced. An associated apparatus, an aircraft, a computer program product, and a computer-readable medium for carrying out the method are also provided.

Abstract: An aircraft for self-neutralizing flight comprising a fuselage, at least a power source, a plurality of laterally extending elements attached to the fuselage, a plurality of downward directed propulsors attached to the plurality of laterally extending elements and electrically connected to at least a power source, wherein the plurality of downward directed propulsors have a rotational axis offset from a vertical axis by a yaw-torque-cancellation angle.

Abstract: Flight control systems, flight control laws, and aircraft are provided. An flight control system includes an input configured to receive a pitch rate command, a processor operative to receive the pitch angle command, to calculate a pitch angle saturation limit, to compare the sum of the pitch rate command, the scaled pitch rate, and the scaled pitch angle to the pitch angle saturation limit, to convert the pitch rate command system to the pitch angle command system in response to the sum exceeding the pitch angle saturation limit value to limit the pilot pitch-up pitch rate command, and to couple the pitch rate command to an aircraft control surface for the failure case of one of control surface, and the aircraft control surface configured to adjust an aircraft control surface setting in response to the pitch rate command and/or pitch angle command to protect an aircraft from being in stall condition.

Abstract: In accordance with some embodiments, a system for controlling an aircraft is provided. The system can include a computing device, wherein the computing device includes at least one processor configured to control a flight path angle of the aircraft, and wherein the aircraft is a blown lift aircraft. The system can also include a control operator communicatively coupled to the computing device, wherein the control operator is configured to have at least two selectable settings. The system can also include at least two thrust-producing devices operatively coupled to a pair of wings on the aircraft and communicatively coupled to the computing device. The computing device may control the flight path angle of the aircraft by selectively operating the at least two thrust-producing devices based on a plurality of conditions provided by a plurality of sensors on the aircraft and a selected setting of the control operator.

Abstract: A stability control method and device based on particle active disturbance rejection are provided. The method includes: establishing an active disturbance rejection controller model based on a dynamic model and a speed loop control model of a tethered balloon system, where the speed loop control model is established through theoretical modeling of executive components of a control system of the tethered balloon system; and optimizing to-be-optimized parameters of the active disturbance rejection controller model using a particle swarm optimization algorithm, determining an optimal active disturbance rejection controller model, and using the optimal active disturbance rejection controller model to implement stability control of a photoelectric pod. An active disturbance rejection controller is optimized by using a particle swarm optimization algorithm, which can effectively isolate the internal and external disturbances of the photoelectric pod and improve the imaging stability of the photoelectric pod.

Abstract: The subject matter described herein includes methods, systems, and computer readable media for augmented reality navigation in network test environments. A method for augmented reality navigation in network test environments includes at a user device of a user, wherein the user device is executing an augmented reality (AR) navigation application: communicating, to an AR navigation system, user location information and resource identification information obtained from a visual code or a user interface, wherein the resource identification information indicates a physical network testing or monitoring resource in a real-world test environment; receiving, from the AR navigation system, navigation information for navigating the user to the physical network testing or monitoring resource; and providing, via a display, the navigation information for navigating the user to the physical network testing or monitoring resource.

Abstract: A computer for controlling a drivetrain of a hybrid vehicle including a combustion engine, an electric machine, a battery and a “heated” catalytic converter including an internal heating system. The computer being configured to determine a plurality of values for a criterion pertaining to the energy consumption of the drivetrain as a function of the distribution of torque between the at least one combustion engine and the at least one electric machine, of the at least one combustion mode of the combustion engine, and of the energy consumption due to the use of the catalytic converter, select the minimum value of the consumption criterion, apply the combustion engine torque command, the electric machine torque command, the command pertaining to the energy consumption by the catalytic converter and the command pertaining to the combustion mode of the combustion engine corresponding to the selected value of the consumption criterion.

Abstract: An unmanned aerial vehicle (UAV) adapted for transit in and deployment from a projectile casing is provided. The UAV includes a wing assembly coupled to the projectile casing and the wing assembly moveable between a closed position and a deployed position. The UAV further includes a propulsion system including at least one rotor disposed on the wing assembly to generate lift, wherein in the closed position, the wing assembly is substantially integral with the projectile casing and in the deployed position, the wing assembly is extended outwards from the projectile casing.

Abstract: A vehicle for traversing an area to regulate a surface impact on a terrain over which the vehicle travels is described. The vehicle includes a motor, a braking system, and a controller coupled to the motor and the braking system. The controller is configured to determine a real-time center of gravity of the vehicle, and the controller is configured to control the vehicle, based on the real-time center of gravity of the vehicle, to regulate the surface impact on the terrain over which the vehicle travels.

Abstract: A driving force controller for vehicle includes a driving force calculator and a driving controller. The driving force calculator calculates an instructed driving force, and includes a first determination unit that determines whether or not a predicted driving force satisfies a first condition. The predicted driving force assumes that the instructed driving force calculated on a first control cycle is changed at a rate of change calculated on the first control cycle, until a second control cycle. The first condition includes that a range between the instructed driving force calculated on the first control cycle and the predicted driving force at least partly cover a first range including a zero driving force. The driving force calculator imposes limitation on the rate of change in the instructed driving force to be calculated in the second control cycle, on the condition that the first condition is satisfied.

Abstract: The present teaching relates to method and system related to providing an anti-tampering sensor assembly on a vehicle. An inertial measurement unit (IMU) is attached to a structure hosting at least one sensor to form a rigid integral structure, which is deployed on a vehicle with an installation pose to enable the at least one sensor therein to sense surrounding information to facilitate autonomous driving. The installation pose of the IMU is indicative of an installation pose of the at least one sensor. The IMU is configured to obtain, in accordance with a schedule, one or more measurements associated with its state, which can be used to enable detecting tampering of the rigid integral structure.