An unmanned driving system includes a moving object movable by remote control; a moving object configured to be movable by remote control; a remote control unit configured to perform the remote control for the moving object, wherein the remote control unit moves the moving object that has been finished a first work at a first place in a factory to a second place in the factory by the remote control, wherein the first work is a work using production equipment, wherein the second place is a place for performing a second work on the moving object; an information acquisition unit configured to acquire abnormality information, wherein the abnormality information includes at least one of information regarding abnormality in the production equipment, information regarding abnormality in the moving object, and information regarding abnormality in another moving object of the same type as the moving object; and an estimation unit configured to estimate whether or not the moving object has an abnormality using the abnormality information, wherein the remote control unit moves an estimated moving object to a third place in the factory, wherein the estimated moving object is the moving object that is estimated to have an abnormality by the estimation unit, wherein the third place is different from both the first place and the second place.

A method of correction of odometry errors during the autonomous drive of a wheel-equipped apparatus having a drive mechanism operatively connected to at least two drive wheels, at least one pivoting wheel operatively connected to a sensor and a control unit operatively connected to the drive mechanism and to the sensor, the method including: an acquisition phase, wherein the sensor acquires an angle of rotation of the at least one pivoting wheel with respect to an axis of rotation substantially perpendicular to a rest surface of the at least one pivoting wheel; a generation phase, wherein the control unit generates a corrective signal that controls the drive mechanism in such a way as to independently operate the at least two drive wheels on the basis of the angle of rotation of the at least one pivoting wheel.

A method of correction of odometry errors during the autonomous drive of a wheel-equipped apparatus having a drive mechanism operatively connected to at least two drive wheels, at least one pivoting wheel operatively connected to a sensor and a control unit operatively connected to the drive mechanism and to the sensor, the method including: an acquisition phase, wherein the sensor acquires an angle of rotation of the at least one pivoting wheel with respect to an axis of rotation substantially perpendicular to a rest surface of the at least one pivoting wheel; a generation phase, wherein the control unit generates a corrective signal that controls the drive mechanism in such a way as to independently operate the at least two drive wheels on the basis of the angle of rotation of the at least one pivoting wheel.

A mobile object is configured to move autonomously. The mobile object includes a sending out unit configured to send out air within the mobile object, a flow path configured to allow the air sent out by the sending out unit to flow, and a sensor configured to detect information around the mobile object, and disposed forward in a blowing out direction of the air blown out from the flow path.

A mobile object is configured to move autonomously. The mobile object includes a sending out unit configured to send out air within the mobile object, a flow path configured to allow the air sent out by the sending out unit to flow, and a sensor configured to detect information around the mobile object, and disposed forward in a blowing out direction of the air blown out from the flow path.

In a robot device that identifies an obstacle on the basis of detection information of a sensor, highly accurate robot control by correct obstacle identification is realized without erroneously recognizing a leg, an arm, or the like of the robot itself as an obstacle. A self-region filter processing unit removes object information corresponding to a component of a robot device from object information included in detection information of a visual sensor, a map image generation unit generates map data based on object information from which the object information corresponding to the component of the robot device has been removed, and a robot control unit controls the robot device on the basis of the generated map data. The self-region filter processing unit calculates variable filter regions of different sizes according to the motion speed of the movable part of the robot device, and executes processing of removing the object information in the variable filter regions from the detection information of the visual sensor.

In a robot device that identifies an obstacle on the basis of detection information of a sensor, highly accurate robot control by correct obstacle identification is realized without erroneously recognizing a leg, an arm, or the like of the robot itself as an obstacle. A self-region filter processing unit removes object information corresponding to a component of a robot device from object information included in detection information of a visual sensor, a map image generation unit generates map data based on object information from which the object information corresponding to the component of the robot device has been removed, and a robot control unit controls the robot device on the basis of the generated map data. The self-region filter processing unit calculates variable filter regions of different sizes according to the motion speed of the movable part of the robot device, and executes processing of removing the object information in the variable filter regions from the detection information of the visual sensor.

Provided is a tangible computer-readable, non-transitory storage medium storing instructions that, when executed by a hardware processor of an aircraft, causes the hardware processor to execute a method. The method includes receiving, from an engine particulate sensor of the aircraft, a measure of particulate matter in a gas path of the engine during flight of the aircraft. The method also includes presenting to a pilot of the aircraft, a visualization of the particulate matter measure, wherein the visualization supports a navigation of the aircraft responsive to the presence of the particulate matter.

Provided is a tangible computer-readable, non-transitory storage medium storing instructions that, when executed by a hardware processor of an aircraft, causes the hardware processor to execute a method. The method includes receiving, from an engine particulate sensor of the aircraft, a measure of particulate matter in a gas path of the engine during flight of the aircraft. The method also includes presenting to a pilot of the aircraft, a visualization of the particulate matter measure, wherein the visualization supports a navigation of the aircraft responsive to the presence of the particulate matter.

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.