A radar detection method may include: transmitting a first radar signal in a field of view and receiving a second radar signal originated from reflections of the first radar signal in the field of view; generating a detection profile by processing the first and second radar signals, the detection profile representing intensities of the second radar signal as a function of positions in the field of view; and analyzing the detection profile to identify targets in the field of view. Analyzing the detection profile may include: using a first mode of analysis, with lower sensitivity, for first cycles, wherein the first mode of analysis is configured to detect a target entering the field of view; using a second mode of analysis, with higher sensitivity, for second cycles following the first cycles, wherein the second mode of analysis is configured to detect stay of the target in the field of view.

A method and electronic device for determining relevant signals in radar signal processing. The electronic device includes a radar transceiver, a memory, and a processor. The processor is configured to cause the electronic device to obtain, via the radar transceiver of the electronic device, radar measurements for one or more modes in a set of modes; process the radar measurements to obtain a set of radar images; identify relevant signals in the set of radar images based on signal determination criteria for an application; and perform the application using only the relevant signals.

Systems and methods for route synchronization between two or more robots to allow for a single training run of a route to effectively train multiple robots to follow the route.

An apparatus including at least one emitter configured to emit energy; at least one receiver configured to receive the emitted energy, where the at least one emitter is mounted on at least one of: a robot arm, an end effector of the robot arm, a substrate on the robot arm, or a substrate process module, where the at least one receiver is mounted on at least one of: the robot arm, the end effector of the robot arm, the substrate on the robot arm, or the substrate process module.

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 multi-input multi-output radar and a moving tool. The multi-input multi-output radar includes: M transmitting channels, each of which is used for simultaneously and respectively transmitting frequency-modulated continuous wave signals of different frequencies; N receiving channels, each of which includes a receiving antenna and a signal demodulator; the receiving antenna for receiving a frequency-modulated continuous wave signal reflected by an object to be detected, wherein the signal demodulator is connected to the receiving antenna, and the signal demodulator is used for converting the reflected frequency-modulated continuous wave signal into a digital signal; and a digital signal processor for analyzing the digital signal, so as to determine information of said object. The multiple transmitting channels simultaneously transmit the frequency-modulated continuous wave signals of different frequencies.

An approach is provided for biasing machine learning models towards potential risks for controlling vehicles/robots. The approach involves, for example, determining an occluded space that is occluded in sensor data collected from one or more sensors of a vehicle or a robot. The approach also involves generating a sensor space completion that represents the occluded space based on biasing a generation of one or more potential risks to the vehicle or the robot originating from the occluded space. The approach further involves providing the sensor space completion to a system of the vehicle or the robot for generating a control decision, a warning, or a combination thereof.

In the present disclosure, a radar system is configured to interact with beacons that shift the phase of a received radar transmission to generate a phase shifted response signal. Phase shifters are designed to assign specific frequency responses to identify target locations. The radar module transmits at a modulated signal at first frequency, each beacon receives the radar transmission, phase shifts the signal and returns the phase shifted signal. Where two or more beacons are used, each will apply a different phase shift to the received radar transmission, wherein the frequency identifies the specific beacons. In a radar system, the modulated transmission signal is compared to the returned phase shifted signal to determine a frequency difference between the two signals.

A system for monitoring and improving social agent interaction quality includes a computing platform having processing hardware and a system memory storing a software code. The processing hardware is configured to execute the software code to receive, from a social agent, interaction data describing an interaction of the social agent with a user, and to perform an assessment of the interaction, using the interaction data, as one of successful or including a flaw. When the assessment indicates that the interaction includes the flaw, the processing hardware is further configured to execute the software code to identify an interaction strategy for correcting the flaw, and to deliver, to the social agent, one or both of the assessment and the interaction strategy to correct the flaw in the interaction.

A mobile robot is configured for operation in a commercial or industrial setting, such as an office building or retail store. The robot can patrol one or more routes within a building, and can detect violations of security policies by objects, building infrastructure and security systems, or individuals. In response to the detected violations, the robot can perform one or more security operations. The robot can include a removable fabric panel, enabling sensors within the robot body to capture signals that propagate through the fabric. In addition, the robot can scan RFID tags of objects within an area, for instance coupled to store inventory. Likewise, the robot can generate or update one or more semantic maps for use by the robot in navigating an area and for measuring compliance with security policies.