An embodiment of the present invention provides an artificial intelligence cleaner comprising: a memory for storing a simultaneous localization and mapping (SLAM) map of a cleaning space; a travel driving part for driving the artificial intelligence cleaner; and a processor for collecting a plurality of cleaning records for the cleaning space, dividing the cleaning space into a plurality of cleaning areas by using the SLAM map and the plurality of collected cleaning records, determining a cleaning path of the artificial intelligence cleaner in consideration of the divided cleaning areas, and controlling the travel driving part according to the determined cleaning path, wherein when an abnormal situation occurs during cleaning on the basis of the determined cleaning path, the processor modifies the cleaning path by applying path simplification to a preconfigured area of the remaining cleaning area.

An aerial vehicle, comprising: one or more motors, one or more sensors, and a flight sub-system. The one or more sensors configured to detect data. The flight sub-system includes an attitude controller module; a rate controller module; and a compensator module. The compensator module is configured to: determine a maximum RPM of the one or more motors or a maximum torque of the one or more motors; receive a torque vector from the rate controller module; determine a rotational speed of the one or more motors to generate a desired flight orientation based upon the torque vector; and consider sensor data from the one or more sensors to adjust the rotational speed of the one or more motors.

A working robot may include a body, a movement unit, a working unit, a magnetic sensor supported by the body, and a control unit. The control unit may be configured to execute a working operation of causing the working unit to work while causing the movement unit to move the body. The control unit may execute, during the working operation, an operation-suspending process of suspending the working operation when a predetermined operation-suspending condition is satisfied, a first magnetic field searching process of causing the movement unit to move the body straight in a first linear direction by a first distance and assessing whether a wire magnetic field is detected by the magnetic sensor after the operation-suspending process, and an operation-resuming process of resuming the working operation when the wire magnetic field is detected by the magnetic sensor.

A system and method for tilt dead reckoning is provided. The system and method allows an autopilot of an unmanned aerial vehicle (UAV) to perform dead reckoning with a hovering vehicle during GNSS signal loss by estimating the position and velocity of the vehicle based on its pitch and roll angles and known vehicle dynamics. The position and velocity are estimated using tables set up by a UAV integration engineer that provide the expected airspeed at given pitch and roll angles in steady state. This allows the UAV to attempt to follow waypoints when GNSS signal is lost without using any additional sensors.

A system and method for tilt dead reckoning is provided. The system and method allows an autopilot of an unmanned aerial vehicle (UAV) to perform dead reckoning with a hovering vehicle during GNSS signal loss by estimating the position and velocity of the vehicle based on its pitch and roll angles and known vehicle dynamics. The position and velocity are estimated using tables set up by a UAV integration engineer that provide the expected airspeed at given pitch and roll angles in steady state. This allows the UAV to attempt to follow waypoints when GNSS signal is lost without using any additional sensors.

A flight control system, including a flight control computer (FCC) configured for providing a first and second flight function, and sending, to effectors of an aircraft, first command signals based on the first and second flight functions, and a second computer configured for providing one or more autonomy functions associated with operation of the aircraft, and that are different from the first and second flight functions, monitoring operation of the FCC, determining whether the FCC has failed, and providing a fail-safe mode for at least the first flight function in response to determining that the FCC has failed. Providing the fail-safe mode includes providing one or more critical flight functions that includes the first flight function, and sending, to the effectors, second command signals that replace a first command signal associated with the first flight function and that are based on the critical flight functions.

A flight control system, including a flight control computer (FCC) configured for providing a first and second flight function, and sending, to effectors of an aircraft, first command signals based on the first and second flight functions, and a second computer configured for providing one or more autonomy functions associated with operation of the aircraft, and that are different from the first and second flight functions, monitoring operation of the FCC, determining whether the FCC has failed, and providing a fail-safe mode for at least the first flight function in response to determining that the FCC has failed. Providing the fail-safe mode includes providing one or more critical flight functions that includes the first flight function, and sending, to the effectors, second command signals that replace a first command signal associated with the first flight function and that are based on the critical flight functions.

Embodiments of the present disclosure may include a system for lossy optimization of a return-to-home route, the system including a non-volatile memory. Embodiments may also include a wireless transceiver. Embodiments may also include a processor in communication with a non-volatile memory including a processor-readable media having thereon a set of executable instructions, configured, when executed, to cause the processor to receive via the wireless transceiver of coordinate samples (kn) over a time interval. In some embodiments, each coordinate sample may include at least two-dimensional pairs (x,y) and a vehicle yaw, the two-dimensional pairs (x,y) indicative of a pilot-assisted vehicle path over the time interval. Embodiments may also include identify a first coordinate pair of interest (x0,y0) and yaw0, a subsequent second coordinate pair (x1,y1), and a third subsequent coordinate pair (x2,y2) and yaw2.

Embodiments of the present disclosure may include a system for lossy optimization of a return-to-home route, the system including a non-volatile memory. Embodiments may also include a wireless transceiver. Embodiments may also include a processor in communication with a non-volatile memory including a processor-readable media having thereon a set of executable instructions, configured, when executed, to cause the processor to receive via the wireless transceiver of coordinate samples (kn) over a time interval. In some embodiments, each coordinate sample may include at least two-dimensional pairs (x,y) and a vehicle yaw, the two-dimensional pairs (x,y) indicative of a pilot-assisted vehicle path over the time interval. Embodiments may also include identify a first coordinate pair of interest (x0,y0) and yaw0, a subsequent second coordinate pair (x1,y1), and a third subsequent coordinate pair (x2,y2) and yaw2.

An aerial vehicle, comprising: one or more motors, one or more sensors, and a flight sub-system. The one or more sensors configured to detect data. The flight sub-system includes an attitude controller module; a rate controller module; and a compensator module. The compensator module is configured to: determine a maximum RPM of the one or more motors or a maximum torque of the one or more motors; receive a torque vector from the rate controller module; determine a rotational speed of the one or more motors to generate a desired flight orientation based upon the torque vector; and consider sensor data from the one or more sensors to adjust the rotational speed of the one or more motors.