Abstract: In one embodiment, a method of simulating an operation of an artificial neural network on a binary neural network processor includes receiving a binary input vector for a layer including a probabilistic binary weight matrix and performing vector-matrix multiplication of the input vector with the probabilistic binary weight matrix, wherein the multiplication results are modified by simulated binary-neural-processing hardware noise, to generate a binary output vector, where the simulation is performed in the forward pass of a training algorithm for a neural network model for the binary-neural-processing hardware.

Abstract: Systems, methods, and devices of the various embodiments enable local visual identification and verification of robotic vehicles. Various embodiments may enable disambiguation of a robotic vehicle from among a plurality of robotic vehicles.

Abstract: In one embodiment, an electronic device includes a compute-in-memory (CIM) array that includes a plurality of columns. Each column includes a plurality of CIM cells connected to a corresponding read bitline, a plurality of offset cells configured to provide a programmable offset value for the column, and an analog-to-digital converter (ADC) having the corresponding bitline as a first input and configured to receive the programmable offset value. Each CIM cell is configured to store a corresponding weight.

Abstract: Embodiments include devices and methods for managing network communication of an unmanned autonomous vehicle (UAV). A processor of the UAV may determine an altitude of the UAV. The processor may optionally also determine a speed or vector of the UAV. Based on the determined altitude and/or speed/vector of the UAV, the processor may adjust the communication parameter of the communication link between the UAV and a communication network. The processor may transmit signals based on the adjusted communication parameter, which may reduce radio frequency interference caused by the transmissions of the UAV with the communication network.

Abstract: In one embodiment, an electronic device includes a compute-in-memory (CIM) array that includes a plurality of columns. Each column includes a plurality of CIM cells connected to a corresponding read bitline, a plurality of offset cells configured to provide a programmable offset value for the column, and an analog-to-digital converter (ADC) having the corresponding bitline as a first input and configured to receive the programmable offset value. Each CIM cell is configured to store a corresponding weight.

Abstract: Embodiments include devices and methods for managing network communication of an unmanned autonomous vehicle (UAV). A processor of the UAV may determine an altitude of the UAV. The processor may optionally also determine a speed or vector of the UAV. Based on the determined altitude and/or speed/vector of the UAV, the processor may adjust the communication parameter of the communication link between the UAV and a communication network. The processor may transmit signals based on the adjusted communication parameter, which may reduce radio frequency interference caused by the transmissions of the UAV with the communication network.

Abstract: Systems, methods, and devices of the various embodiments enable local visual identification and verification of robotic vehicles. Various embodiments may enable disambiguation of a robotic vehicle from among a plurality of robotic vehicles.

Abstract: Disclosed is an apparatus and method for classifying a motion state of a mobile device comprising: determining a first motion state associated with a highest probability value and with a first confidence level greater than a first threshold; entering the first motion state; while the first motion state is active, determining a second motion state associated with a highest probability value and with a second confidence level greater than the first threshold, the second motion state being different from the first motion state; determining whether the second motion state is to be entered; and in response to determining that the second motion state is to be entered, entering the second motion state.

Abstract: Embodiments include devices and methods for managing network communication of an unmanned autonomous vehicle (UAV). A processor of the UAV may determine an altitude of the UAV. The processor may optionally also determine a speed or vector of the UAV. Based on the determined altitude and/or speed/vector of the UAV, the processor may adjust the communication parameter of the communication link between the UAV and a communication network. The processor may transmit signals based on the adjusted communication parameter, which may reduce radio frequency interference caused by the transmissions of the UAV with the communication network.

Abstract: Systems, methods, and devices of the various embodiments enable local visual identification and verification of robotic vehicles. Various embodiments may enable disambiguation of a robotic vehicle from among a plurality of robotic vehicles.

Abstract: An apparatus and method for transmitting an indicator of channel quality while minimizing the use of a broadcast channel is described. A metric of forward link geometry of observed transmission signals is determined. An indicator of channel quality value is determined as a function of the observed transmission signals. An access sequence is selected, randomly, from one group of a plurality of groups of access sequences, wherein each of the plurality of groups of access sequences correspond to different ranges of channel quality values.

Abstract: Various embodiments include methods for dynamic antenna steering on an unmanned aerial vehicle (UAV). The methods may include orienting an antenna on the UAV towards a serving ground station based on the UAV's position, orienting the antenna towards a neighboring ground station when it is time to conduct signal measurements of the neighboring ground station, conducting the signal measurements while orienting the antenna towards the neighboring ground station, and reorienting the antenna towards the serving ground station. Methods further include orienting a ground station antenna towards a UAV by obtaining a position of the UAV, calculating a vector between the position of the UAVs and the ground station, determining a direction to steer a beam based on the calculated vector, and steering the beam to the determined direction for the UAV.

Abstract: An apparatus and method for transmitting an indicator of channel quality while minimizing the use of a broadcast channel is described. A metric of forward link geometry of observed transmission signals is determined. An indicator of channel quality value is determined as a function of the observed transmission signals. An access sequence is selected, randomly, from one group of a plurality of groups of access sequences, wherein each of the plurality of groups of access sequences correspond to different ranges of channel quality values.

Abstract: Various embodiments include methods of navigating a drone that may include determining whether a radio link quality trigger event associated with communications with the drone has occurred while the drone travels along a set route to a destination. The radio link quality trigger event may correspond to predetermined characteristics of radio link quality. The drone may be steered to follow a search maneuver for improving radio link quality in response to determining the radio link quality trigger event has occurred. The search maneuver may follow a preconfigured deviation pattern that is configured before determining whether the radio link quality trigger event has occurred and departs from the set route.

Abstract: An apparatus and method for transmitting an indicator of channel quality while minimizing the use of a broadcast channel is described. A metric of forward link geometry of observed transmission signals is determined. An indicator of channel quality value is determined as a function of the observed transmission signals. An access sequence is selected, randomly, from one group of a plurality of groups of access sequences, wherein each of the plurality of groups of access sequences correspond to different ranges of channel quality values.

Abstract: An apparatus and method for transmitting an indicator of channel quality while minimizing the use of a broadcast channel is described. A metric of forward link geometry of observed transmission signals is determined. An indicator of channel quality value is determined as a function of the observed transmission signals. An access sequence is selected, randomly, from one group of a plurality of groups of access sequences, wherein each of the plurality of groups of access sequences correspond to different ranges of channel quality values.

Abstract: Systems, methods, and devices of the various embodiments enable local visual identification and verification of robotic vehicles. Various embodiments may enable disambiguation of a robotic vehicle from among a plurality of robotic vehicles.

Abstract: Various embodiments include methods for managing antennas on an aerial robotic vehicle used for wireless communications. A processor may receive position information identifying a location of the aerial robotic vehicle, determine whether to switch from using a first antenna to using a second antenna for active communications of the aerial robotic vehicle based on the position information, and switch active communications from using the first antenna to using the second antenna in response to determining that active communications of the aerial robotic vehicle should switch from using the first antenna to using the second antenna. The processor may make the determination using information from a database, which may correlate aerial robotic vehicle position to whether to use a particular one of the first and second antennas for active communications. The determination may also be based on a comparison of signal qualities obtained by both antennas.

Abstract: Disclosed is an apparatus and method for power efficient processor scheduling of features. In one embodiment, features may be scheduled for sequential computing, and each scheduled feature may receive a sensor data sample as input. In one embodiment, scheduling may be based at least in part on each respective feature's estimated power usage. In one embodiment, a first feature in the sequential schedule of features may be computed and before computing a second feature in the sequential schedule of features, a termination condition may be evaluated.

Abstract: Various embodiments include methods for managing antennas on an aerial robotic vehicle used for wireless communications. A processor may receive position information identifying a location of the aerial robotic vehicle, determine whether to switch from using a first antenna to using a second antenna for active communications of the aerial robotic vehicle based on the position information, and switch active communications from using the first antenna to using the second antenna in response to determining that active communications of the aerial robotic vehicle should switch from using the first antenna to using the second antenna. The processor may make the determination using information from a database, which may correlate aerial robotic vehicle position to whether to use a particular one of the first and second antennas for active communications. The determination may also be based on a comparison of signal qualities obtained by both antennas.