According to one embodiment, a data processing device is configured to process data related to a mobile body. The mobile body moves by autonomously traveling over a traveling surface. The data processing device is further configured to calculate a first error occurring in a first movement from a first position to a transit position. The first movement includes a translational motion and a turning motion. The data processing device is further configured to predict, based on the first error, a second error occurring in a second movement from the transit position to a second position. The second movement includes a turning motion. The data processing device is further configured to correct a movement amount of the mobile body in the second movement by using the first and second errors.

A management system includes multiple autonomous moving bodies existing in a predetermined area, and a management device configured to manage the multiple autonomous moving bodies, in which each of the multiple autonomous moving bodies is configured to communicate with both the management device and other autonomous moving bodies, the management device is configured to attempt to transmit a specific instruction for a first autonomous moving body to each of the multiple autonomous moving bodies, when a second autonomous moving body receives the specific instruction from the management device, transmit an instruction corresponding to the specific instruction received from the management device to the first autonomous moving body, and when receiving the instruction corresponding to the specific instruction from the second autonomous moving body, the first autonomous moving executes processing according to the instruction corresponding to the specific instruction received from the second autonomous moving body.

A management system includes multiple autonomous moving bodies existing in a predetermined area, and a management device configured to manage the multiple autonomous moving bodies, in which each of the multiple autonomous moving bodies is configured to communicate with both the management device and other autonomous moving bodies, the management device is configured to attempt to transmit a specific instruction for a first autonomous moving body to each of the multiple autonomous moving bodies, when a second autonomous moving body receives the specific instruction from the management device, transmit an instruction corresponding to the specific instruction received from the management device to the first autonomous moving body, and when receiving the instruction corresponding to the specific instruction from the second autonomous moving body, the first autonomous moving executes processing according to the instruction corresponding to the specific instruction received from the second autonomous moving body.

An electrical system for an aircraft is disclosed, comprising: at least one processor configured to: receive first sensor data from at least one inertial sensor of the aircraft, wherein the first sensor data is indicative of a state of the aircraft, receive second sensor data from at least one of an airspeed sensor indicating an airspeed of the aircraft or a propeller speed sensor indicating a propeller speed of at least one propeller of the aircraft, and determine the state of the aircraft based on the first sensor data, wherein determining the state of the aircraft comprises filtering aircraft state measurements based on the second sensor data to lessen influence of propeller vibrations on at least one aircraft signal. The at least one processor is further configured to control the aircraft based on a pilot input command and the determined state of the aircraft.

An electrical system for an aircraft is disclosed, comprising: at least one processor configured to: receive first sensor data from at least one inertial sensor of the aircraft, wherein the first sensor data is indicative of a state of the aircraft, receive second sensor data from at least one of an airspeed sensor indicating an airspeed of the aircraft or a propeller speed sensor indicating a propeller speed of at least one propeller of the aircraft, and determine the state of the aircraft based on the first sensor data, wherein determining the state of the aircraft comprises filtering aircraft state measurements based on the second sensor data to lessen influence of propeller vibrations on at least one aircraft signal. The at least one processor is further configured to control the aircraft based on a pilot input command and the determined state of the aircraft.

A system includes a mobile body detector configured to detect mobile body information, a position estimation unit configured to estimate at least any one of a position and an orientation of the mobile body, a controller configured to generate a control command for causing the mobile body to travel via remote control, and a blind spot detector configured to detect blind spot information.

A system includes a mobile body detector configured to detect mobile body information, a position estimation unit configured to estimate at least any one of a position and an orientation of the mobile body, a controller configured to generate a control command for causing the mobile body to travel via remote control, and a blind spot detector configured to detect blind spot information.

Aspects of the present disclosure generally relate to systems and methods for flight control of aircrafts driven by electric propulsion systems and in other types of vehicles. In some embodiments, a flight control system of an aircraft is disclosed, configured to receive one or more signals to control movement of the aircraft, determine at least one flight condition of the aircraft, wherein the at least one flight condition includes at least a phase of flight, calculate at least one or more loads associated with the aircraft based on the determined at least one flight condition; determine an optimized flight configuration to alleviate loads on one or more components of the aircraft based on the received one or more signals and the calculated loads, generate one or more effector commands based on the optimized flight configuration; and actuate one or more aircraft effectors based on the one or more effector commands.

A method for setting a flight path of an unmanned aerial vehicle includes calculating an availability state, in an unmanned aerial vehicle, of artificial satellites based on a positional relationship between the artificial satellites constituting a global navigation satellite system and the unmanned aerial vehicle at any of points in a scheduled path of the unmanned aerial vehicle flying autonomously. The method further includes comparing the availability state calculated and a reference availability state required for flight control of the unmanned aerial vehicle.

A method for setting a flight path of an unmanned aerial vehicle includes calculating an availability state, in an unmanned aerial vehicle, of artificial satellites based on a positional relationship between the artificial satellites constituting a global navigation satellite system and the unmanned aerial vehicle at any of points in a scheduled path of the unmanned aerial vehicle flying autonomously. The method further includes comparing the availability state calculated and a reference availability state required for flight control of the unmanned aerial vehicle.