In some examples, systems and methods are described for output biasing maneuvers recommendations provided by at least one machine learning maneuver-recommendation (MLM) engine executing on an aerial vehicle. In some examples, output biasing data can be received that includes at least one risk tuning parameter that can influence which of the maneuver recommendations are selected by a maneuver decision engine executing on the aerial vehicle based on a maneuver confidence threshold for implementation by the aerial vehicle. The maneuver confidence threshold can be updated based on the at least one risk tuning parameter to provide an updated maneuver confidence threshold for the output biasing of the maneuvers recommendation provided by the at least one MLM engine. Vehicle command data for implementing a given maneuver recommendation can be outputted based on an evaluation of the updated maneuver confidence threshold.

The present disclosure relates to a method and a device for safety driving. The method includes: acquiring riding data of a current user of a self-balancing vehicle; comparing the acquired riding data with riding data corresponding to a plurality of preset user levels; and determining a user level of the current user of the self-balancing vehicle according to a result of the comparing. The riding data includes one or more of the following data: a riding time, a riding distance, a shaking frequency, a shaking arc magnitude, and a shaking time.

Deflection of a rotor of a motor, such as a brushless motor, of an unmanned aerial vehicle (“UAV”) during operation may cause the magnets coupled to the interior surface of the rotor to move or walk down the surface, imbalancing the motor and potentially creating an unsafe flying condition for the UAV. The described methods and apparatus monitor rotor deflection of the motor during operation and alter one or more flight characteristics of the UAV if the deflection exceeds a tolerance range. By altering flight characteristics, external forces acting on the motor may be reduced, thereby reducing the deflection of the rotor.

The present disclosure relates to a vehicle adapted for autonomous driving, such as an autonomous vehicle, comprising an assisting object detecting system for detecting obstructing objects to the vehicle. The object detecting system is adapted to detect an object by comparing a reference value of a selected parameter with a measured value of the selected parameter. The present disclosure also relates to a method and a computer program product for use in the vehicle.

A method for controlling movement of a robot includes inputting a first linear velocity parameter and a first angular velocity parameter, which are specified as the robot moves, into a first limit model for limiting a centripetal acceleration to correct the first linear velocity parameter and the first angular velocity parameter, thereby calculating a second linear velocity parameter and a second angular velocity parameter, inputting the second linear velocity parameter and the second angular velocity parameter into at least one of a second limit model for limiting a linear velocity and a third limit model for limiting an angular velocity to correct the second linear velocity parameter and the second angular velocity parameter, thereby calculating a third linear velocity parameter and a third angular velocity parameter, and controlling the movement of the robot based on the third linear velocity parameter and the third angular velocity parameter.

A vehicle control system is provided to maintain an SOC level of the battery during autonomous operation of the vehicle. The control system is applied to a vehicle that can be operated autonomously by controlling an engine, a motor, a steering system, a brake system etc. autonomously by a controller, and the vehicle is allowed to coast by manipulating a clutch. During autonomous operation of the vehicle, a first coasting mode in which the engine is stopped and the clutch is disengaged is selected if the SOC level is higher than a threshold level, and a second coasting mode in which the engine is activated and the clutch is disengaged is selected if the SOC level is lower than the threshold level.

Systems and methods for controlling a vehicle including a friction control device are provided. A method of controlling the vehicle includes operating at least one friction control device in a first of a plurality of friction modes, detecting a vehicular speed, changing operation of the at least one friction control device from the first friction mode to a second of the plurality of friction modes in response to the vehicular speed exceeding a first threshold speed value, and changing operation of the at least one friction control device from the second friction mode to the first friction mode in response to the vehicular speed falling below a second threshold speed value that is less than the first threshold speed value. The second friction mode is associated with a higher level of resistance than the first friction mode.

Drone (5) which comprises a plurality of propellers (16) driven by motors (17) supported by at least one structure (18), in which a plurality of converters (15) are arranged around the structure (18) to convert electricity to high voltage in low voltage electricity. The present description also relates to a method of controlling the attitude of the drone (5).

Physical and logical components of a long line loiter control system address control of a long line loiter maneuver conducted beneath a carrier, such as a fixed-wing aircraft. Control may comprise identifying, predicting, and reacting to estimated states and predicted states of the carrier, a suspended load control system, and a long line. Identifying, predicting, and reacting to estimated states and predicted states may comprise determining characteristics of state conditions over time as well as response time between state conditions. Reacting may comprise controlling a hoist of the carrier, controlling thrusters of the suspended load control system, and or controlling or issuing flight control instructions to the carrier so as not to increase the response time and or to avoid a hazard.

A hull behavior control system includes a memory and at least one controller coupled to the memory. The at least one controller is configured or programmed to control a propulsion force of the marine vessel using a propeller of the marine vessel, obtain a water surface shape around the marine vessel, estimate movement of a wave based on the water surface shape, and reduce the propulsion force by controlling the propeller when it is determined that an impact force equal to or greater than a threshold value will act on the hull after the hull travels over the wave whose movement has been estimated.