A distributed control system with supplemental attitude adjustment including an aircraft control having an engaged state and a disengaged state. The system also including a plurality of flight components and a plurality of aircraft components communicatively connected to the plurality of flight components, wherein each aircraft component is configured to receive an aircraft command and generate a response command directing the flight components as a function of supplemental attitude. The supplemental attitude based at least in part on the engagement datum and generating a supplemental attitude includes choosing a position supplemental attitude if the aircraft control is disengaged and choosing a velocity supplemental attitude if the aircraft control is engaged. In generating the response command, the aircraft attitude is combined with the supplemental attitude to obtain an aggregate attitude, and the aircraft component is configured to generate the response command based on the aggregate attitude.

A shock damper is disposed between a vehicle body side and a wheel side. A suspension control device calculates a damping force of the shock damper on the basis of vehicle height information and controls the damping force. A steering system includes an electric motor and a steering control device that controls the electric motor, and assists steering effort of the driver through the electric motor. The suspension control device calculates the vibration generated in a steering on the basis of a detected value of a vehicle height sensor and creates a signal for generating steering torque that reduces the generated vibration. The suspension control device outputs the created signal to the steering control device. Steering torque for cancelling steering vibration is accordingly outputted from the electric motor of the steering system.

A dynamic active control system (DACS) configured for: (1) total vessel pitch axis control by fast symmetric deployment of water engagement devices (WEDs) or controllers, coupled with engine trim adjustments; (2) total roll and heading control by differentially deploying WEDs to counter rolling motions while simultaneously adjusting engine steering position to counter the steering moment associated with WED delta position; and (3) adjustment of the engine steering angle to counter yaw moments produced by gyroscopic stabilization systems.

In a general aspect, a handheld controller device includes a housing and a trigger assembly. The housing is configured to be held in the hands of a user. The trigger assembly includes a pair of triggers extending outward from a side of the handheld controller device and configured to move along respective trigger paths. A coupling assembly is disposed inside the housing and connected to the pair of triggers. The coupling assembly is configured to transfer motion between the pair of triggers such that, when either of the triggers moves towards the housing along its respective trigger path, the coupling assembly moves the other trigger an equal distance away from the housing along its trigger path. Circuitry in the housing includes one or more sensors and a microcontroller configured to receive sensor signals and, in response, generate aircraft control data (e.g., for a flight simulation or remotely controlled flyable aircraft).

A dual agent reinforcement learning autonomous system (DARLAS) for the autonomous operation of aircraft and/or provide pilot assistance. DARLAS includes an artificial neural network, safe agent, and cost agent. The safe agent is configured to calculate safe reward Q values associated with landing the aircraft at a predetermined destination or calculated emergency destination. The cost agent is configured to calculate cost reward Q values associated with maximum fuel efficiency and aircraft performance. The safe and cost reward Q values are based on state-action vectors associated with an aircraft, which may include state data and action data. The system may include a user output device that provides an indication of an action to a user. The action corresponds to an agent action having the highest safe reward Q value and the highest cost require Q value. DARLAS prioritizes the highest safe reward Q value in the event of conflict.

A vertical take-off and landing (“VTOL”) unmanned aerial vehicle (“UAV”) system and a method of controlling the same, wherein such method controls the stability and maneuverability of the VTOL UAV by manipulating the speeds of the propellers at each rotor. The VTOL UAV includes a body with three extending arms, wherein each of such arms is aligned and fixed at a certain angle from a central axis passing through the body. Each extending arm is equipped with a rotor with propellers. The rotors are sufficient to control the yaw of the UAV, and there is no need for coaxial rotors or an extra servo-motor in order to control the yaw of the UAV, thus reducing the cost and the weight of the UAV.

In accordance with an embodiment, a method of operating an aircraft includes operating the aircraft in a first mode including determining an attitude based on a pilot stick signal, where a translational speed or an attitude of the aircraft is proportional to an amplitude of the pilot stick signal in the first mode; transitioning from the first mode to a second mode when a velocity of the aircraft exceeds a first velocity threshold; and operating the aircraft in the second mode where the output of the rate controller is proportional to the amplitude of the pilot stick signal.

An amusement park attraction system including a ride vehicle comprising an input device, and a control system configured to determine a parameter value associated with a force imparted on the input device. The parameter value includes a value of the force imparted on the input device, a value of a deformation caused by the force imparted on the input device, or both. The control system is also configured to control movement of the ride vehicle of the amusement park attraction system based on the parameter value.

The present disclosure provides a stair climbing gait planning method and an apparatus and a robot using the same. The method includes: obtaining first visual measurement data through a visual sensor of the robot; converting the first visual measurement data to second visual measurement data; and performing a staged gait planning on a process of the robot to climb the staircase based on the second visual measurement data. Through the method, the visual measurement data is used as a reference to perform the staged gait planning on the process of the robot to climb the staircase, which greatly improves the adaptability of the robot in the complex scene of stair climbing.

A control method includes obtaining one or more attitude parameters of a gimbal of a UAV and adjusting one or more attitude parameters of the UAV according to the one or more attitude parameters of the gimbal. The UAV includes a vehicle body, and a power system and the gimbal that are provided at the vehicle body. The power system includes a motor and a propeller and is configured to provide flight power for the UAV. The gimbal is configured to connect a photographing device to the vehicle body. Adjusting the one or more attitude parameters of the UAV includes adjusting a yaw parameter of the UAV according to the yaw parameter of the gimbal. Adjusting the yaw parameter of the UAV includes controlling the UAV to rotate in a yaw direction according to the yaw parameter of the gimbal, to cause the UAV to rotate along with the gimbal.