The present disclosure provides a robot recharging localization method including: calculating a directional angle of a first identification line based on identification points near a radar zero point of the first recognition line collected by a radar of the robot; determining a sequence of the identification points in an identification area according to the calculated directional angle of the first identification line, and finding two endpoints of the sequence of the identification points; determining dividing point(s) in the sequence of the identification points; fitting the sequence of the identification points to obtain a linear equation of the first identification line with respect to a coordinate system of a mobile robot; and determining a central positional coordinate of the first identification line based on the dividing point(s) and a linear equation, and determining a relative position of the robot based on the central positional coordinate and the linear equation.

Embodiments relate to machines comprising a movable part, transceiver circuitry configured to transmit a radio signal towards the movable part and to receive a reflection of the radio signal from the movable part, evaluation circuitry configured to determine a position or a speed of the movable part based on at least the received radio signal. A distance between an antenna of the transceiver circuitry and the movable part is less than 5 cm.

An anti-collision method includes storing information on a current position of at least one vehicle within a target work volume, scanning the target work volume by a radiofrequency radiation signal to detect the presence of at least one human operator within the target work volume, determining the current position of the at least one human operator within the target work volume, comparing the current position of the at least one human operator with the current position of the at least one vehicle, and, if the current position of the at least one human operator at least partially overlaps the current position of the at least one vehicle, activating at least one safety device.

A mobile platform structured for mounting a soft target thereon is provided. The mobile platform includes a self-propelled drive unit configured to move along a ground surface responsive to a control signal. The mobile platform also includes a hardened mobile platform control module coupled to the drive unit so as to move with the drive unit. The mobile platform also includes a sacrificial body structured and coupled to the drive unit so as to move along the ground surface with the drive unit.

The present invention relates a robot detection and control system within a chamber capable of detecting a position of the robot within the chamber by using a plurality of UWB radars. To this end, the present invention provides a robot detection and control system within a chamber configured to include a UWB radar provided in the chamber; a position detection unit which detects a position of a robot moving in the chamber using data by the UWB radar; and a robot control unit which compares the position of the robot by the position detection unit with a position of an obstacle to control the movement of the robot. Therefore, according to the present invention, since the position of the robot within the chamber may be determined in real time, it is possible to determine whether the movement path of the robot is appropriate and prevent an emergency accident in advance.

The present disclosure relates to a cargo protection method, device and system, and a non-transitory computer-readable storage medium, relating to the technical field of unmanned aerial vehicles. The method of the present disclosure includes: determining whether an unmanned aerial vehicle is in a falling state or not according to a current acceleration in a vertical direction of the unmanned aerial vehicle and a current vertical distance from the unmanned aerial vehicle to the ground; and opening at least one airbag in a cargo hold of the unmanned aerial vehicle in a case where the unmanned aerial vehicle is in the falling state to protect a cargo in the cargo hold.

A system and method provide remote tracking of progress at construction sites. When possible, the progress can be monitored remotely via satellite imagery. But once satellite imagery cannot determine the progress that needs to be monitored at the construction site, multiple unmanned aerial vehicles (UAVs) that use RF emitters and receivers are deployed to the construction site to determine progress based on RF scans. A number and type of UAVs, along with their respective flight plans, are determined from site specifications and expected progress at the construction site. The UAVs are programmed with their respective flight plans, synchronized, then deployed to inspect the construction site using RF scans. The UAVs execute their respective flight plans, with some emitting RF signals and others receiving those emitted RF signals. The UAV RF data is then analyzed and compared to the site specifications to determine the progress at the construction site.

The present disclosure relates to robot technology, and particularly to a method and a robot for identifying charging station. The method includes: first, obtaining scanning data produced by a radar of the robot; then, determining whether an arc-shaped object exists in a scanning range of the radar of the robot based on the scanning data; finally, in response to determining that the arc-shaped object exists in the scanning range of the robot, determining that the arc-shaped object is a charging station. Compared with the prior art, the present disclosure substitutes the arc identification for the conventional concave-convex structure identification. Since the surface of the arc is relatively smooth, the data jumps at the intersection of the cross-section will not occur, hence the accuracy of charging station identification can be greatly improved.

The present invention is a single camera or multiple cameras on telescoping pole that can be mounted on top surface of vehicles such as automobiles, trucks, buses, trains, airplanes, toys etc. For easier explanation of the invention, focus is given on the application of the camera system on automobiles (cars). Four cameras mounted in different directions on the pole give wider field of view for safe operation of the vehicle. The camera system also includes a radar. The telescoping pole helps to raise the cameras unit with radar(LDAR) above the top surface of the vehicle. The first camera points to the front direction of the car, the second camera points to the rear direction of the car, the third camera points to a blind spot on the left side of the car and the fourth camera points to a blind spot on the right side the car. The inventions can be easily modified to a single or dual camera on top of pole for a cheaper alternative camera system, first camera can be mounted on the pole to show front view and the second camera may be mounted on the pole to show the rear view. The system can also keep cameras that point to the blind spots and ignore cameras facing the front and rear views.

A distance measuring system includes: at least one emitter, which emits a frequency-variable scanning signal; at least one receiver; and an analysis unit for computing a distance to an object reflecting the scanning signal on the basis of a difference between the frequencies of the emitted and the received scanning signal. The rate of change of the frequency of the scanning signal in a first operating mode of the distance measuring system has a first finite value. The rate of change of the frequency in a second operating mode has a second finite value. The analysis unit is configured to compute a first distance on the basis of a frequency difference ascertained in the first operating mode, to compute a second distance on the basis of a frequency difference ascertained in the second operating mode, and to evaluate the correspondence between first and second computed distance.