A machine localization system includes a work machine including an extendable implement, a first pressure sensor coupled to the work machine, a second pressure sensor located at a known elevation, and a computing system operably coupled to the work machine, the first pressure sensor, and the second pressure sensor. The computing system is configured to receive a first pressure measurement from the first pressure sensor and a second pressure measurement from the second pressure sensor, determine a maximum operating height of the extendable implement based on a difference between the first pressure measurement and the second pressure measurement, and configure the extendable implement to not exceed the maximum operating height.

A machine localization system includes a work machine including an extendable implement, a first pressure sensor coupled to the work machine, a second pressure sensor located at a known elevation, and a computing system operably coupled to the work machine, the first pressure sensor, and the second pressure sensor. The computing system is configured to receive a first pressure measurement from the first pressure sensor and a second pressure measurement from the second pressure sensor, determine a maximum operating height of the extendable implement based on a difference between the first pressure measurement and the second pressure measurement, and configure the extendable implement to not exceed the maximum operating height.

Disclosed are a platooning control apparatus and control method, the apparatus including a communication unit obtaining performance information and sensing information of a controller for platooning and a control unit granting at least vehicle among plurality of vehicles platooning control authority based on the performance information and in response to determination that a vehicle in which the control unit is provided is the vehicle to be granted platooning control authority, generating a driving route on the sensing information and controlling the platooning based on the driving route.

An electronic apparatus is disclosed. The electronic apparatus includes a communication interface including circuitry, a sensor, a memory stored with data including a plurality of movement patterns at a normal operation of a robot device, and at least one processor electrically coupled with the memory, and the at least one processor is configured to obtain a movement pattern of the robot device based on at least one from among a signal strength received from the robot device through the communication interface or sensing data of the sensor, and identify an operating state of the robot device according to the obtained movement patterned based on the data as a normal operation or an abnormal operation.

An electronic apparatus is disclosed. The electronic apparatus includes a communication interface including circuitry, a sensor, a memory stored with data including a plurality of movement patterns at a normal operation of a robot device, and at least one processor electrically coupled with the memory, and the at least one processor is configured to obtain a movement pattern of the robot device based on at least one from among a signal strength received from the robot device through the communication interface or sensing data of the sensor, and identify an operating state of the robot device according to the obtained movement patterned based on the data as a normal operation or an abnormal operation.

An aerial vehicle according to an embodiment of the present technology includes a recording unit, a detection unit, and a reproduction unit. The recording unit records a flight parameter during flight in a state in which no sensor abnormality is detected. The detection unit detects the sensor abnormality. The reproduction unit reproduces the flight parameter on the basis of the sensor abnormality detected by the detection unit.

An aerial vehicle according to an embodiment of the present technology includes a recording unit, a detection unit, and a reproduction unit. The recording unit records a flight parameter during flight in a state in which no sensor abnormality is detected. The detection unit detects the sensor abnormality. The reproduction unit reproduces the flight parameter on the basis of the sensor abnormality detected by the detection unit.

The systems and methods described herein relate to fully or partially autonomous or remotely operated aerial pollination vehicles that use computer vision and artificial intelligence to automatically detect plants, orient the vehicle to a pollen dispensing position above each plant, and pollinate the individual plants.

This application relates to a method and an apparatus for controlling an intelligent lawn mower, an intelligent lawn mower, a computer device, and a storage medium. In the method, output torque of a mowing motor during working of the intelligent lawn mower is detected, a wheel rotation speed of the intelligent lawn mower is reduced in response to the output torque reaches a first set threshold, and the intelligent lawn mower is controlled to operate based on the reduced wheel rotation speed.

This application relates to a method and an apparatus for controlling an intelligent lawn mower, an intelligent lawn mower, a computer device, and a storage medium. In the method, output torque of a mowing motor during working of the intelligent lawn mower is detected, a wheel rotation speed of the intelligent lawn mower is reduced in response to the output torque reaches a first set threshold, and the intelligent lawn mower is controlled to operate based on the reduced wheel rotation speed.