A robot includes a driver; a camera; and a processor configured to: during an interaction session in which a first user identified in an image obtained through the camera is set as an interaction subject, perform an operation corresponding to a user command received from the first user, and determine whether interruption by a second user identified in an image obtained through the camera occurs, and based on determining that the interruption by the second user occurred, control the driver such that the robot performs a feedback motion for the interruption.

A system to guide robotic automation of vertical farming, comprising: artificial intelligence optimization software that estimates size, mass and yield of the vertical farming; wherein the artificial intelligence optimization software is coupled to a robot; wherein the robot utilizes computer vision in order to estimate the height, growth and mass of plants in a vertical farm; wherein the robot has a robotic arm that sows seeds in the vertical farm; wherein once the seed grows past a seedling, the robot moves the seedling to a hydroponics greenhouse; wherein in the hydroponics greenhouse the robot uses computer vision to estimate the height, growth and mass of plants; and wherein the artificial intelligence optimization software provides guidance and feedback on when and where the robot should make changes to plants in the hydroponic greenhouse. The system also has sensors throughout the vertical farm and greenhouse that send data to the software.

Disclosed herein are system, method, and computer program product embodiments for locating, identifying, and tracking a known criminal, fugitive, missing person, and/or any other person of interest. An embodiment operates by deploying an unmanned aerial vehicle, determining the mode of operation of the UAV, operating the UAV in accordance with the mode of operation of the UAV, determining whether a subject has been detected, capturing a first voice sample associated with the subject, authenticating the identity of the subject, and transmitting the GPS location of the unmanned aerial vehicle to a computing device.

Disclosed herein are system, method, and computer program product embodiments for locating, identifying, and tracking a known criminal, fugitive, missing person, and/or any other person of interest. An embodiment operates by deploying an unmanned aerial vehicle, determining the mode of operation of the UAV, operating the UAV in accordance with the mode of operation of the UAV, determining whether a subject has been detected, capturing a first voice sample associated with the subject, authenticating the identity of the subject, and transmitting the GPS location of the unmanned aerial vehicle to a computing device.

An aerial vehicle equipped with a first range sensor oriented to capture range data above the aerial vehicle and a second range sensor oriented to capture range data below the aerial vehicle is programmed with global map of an indoor space, including an upper global map representing distance data for upper surfaces of the indoor space and a lower global map representing distance data for lower surfaces of the indoor space. An offset to an altitude is calculated based on a comparison between range data captured by the first range sensor and the upper global map, and range data captured by the second range sensor and the lower global map. Additionally, global maps may be updated based on returns captured by the range sensors, where such data indicates the presence of a previously undetected object.

A row steering system of an agricultural machine is provided. The row steering system includes a first sensor assembly configured to detect a first orientation of the agricultural machine relative to a path reference in a field using a first sensor configured to measure a first characteristic. The system also includes a second sensor assembly configured to detect a second orientation of the agricultural machine using a second sensor configured to measure a second characteristic. The system further includes a control module including a first evaluation module to obtain a first confidence in the detected first orientation, a second evaluation module to obtain a second confidence in the detected second orientation, and a selector module to selectively provide one or more of the detected first orientation or the detected second orientation to a machine controller of the agricultural machine based on the first and second confidences.

A row steering system of an agricultural machine is provided. The row steering system includes a first sensor assembly configured to detect a first orientation of the agricultural machine relative to a path reference in a field using a first sensor configured to measure a first characteristic. The system also includes a second sensor assembly configured to detect a second orientation of the agricultural machine using a second sensor configured to measure a second characteristic. The system further includes a control module including a first evaluation module to obtain a first confidence in the detected first orientation, a second evaluation module to obtain a second confidence in the detected second orientation, and a selector module to selectively provide one or more of the detected first orientation or the detected second orientation to a machine controller of the agricultural machine based on the first and second confidences.