Abstract: Disclosed herein are systems and methods for estimating water turbidity using image data, comprising analyzing a plurality of images of one or more objects submerged in water captured under water from a plurality of distances, calculating a luma value for each of a plurality of pixels along one or more gradient lines across the object(s) in each of the plurality of images, calculating, for each image, a respective maximal intensity change between a lowest luma value and a highest luma value of the pixels along the gradient line(s) in the respective image, evaluating a turbidity of the water based on mapping of the respective maximal intensity change to each of the plurality of distances, and initiating one or more actions in case the turbidity exceeds a certain threshold.

Abstract: A method of navigating a dynamic pool equipment unit in a water pool, comprising: receiving sensory data captured by a plurality of sensors of a dynamic pool equipment unit moving in a water pool, mapping, based on analysis of the sensory data, one or more geometrically distinguishable surfaces of the water pool which is geometrically distinguishable from any adjacent surface of the water pool, generating a map of the water pool based on the mapped one or more geometrically distinguishable surface, and outputting the water pool map for navigating one or more dynamic pool. Wherein the plurality of sensors employ a plurality of different sensing technologies.

Abstract: The present disclosure provides a cleaning robot comprising one or more motors and a controller configured to control the one or more motors to generate acoustic signals indicative of content. The controller is configured to control at least one of a frequency of the acoustic signals and a pulse width of acoustic pulses generated by the one or more motors. The controller may be configured to control the one or more motors to generate an ascending sequence of frequencies and to use a frequency of a pulse generated by the one or more motors to validate a pulse width of the pulse. The one or more motors are configured to transmit frequency tones that indicate bits of a first value within the content. The one or more motors comprise at least one of a pump motor and a drive motor, wherein the controller is configured to control electric power within a motor coil using pulse width modulation to generate the acoustic signals.

Abstract: A method for interacting with a submerged robot, the method may include (i) receiving by a receiver of a submerged robot, unique signals aimed to the submerged robot; wherein the unique signals are sound signals having frequencies that differ from (a) frequencies of sounds generated by the submerged robot, and (b) frequencies of sounds generated by an environment of the pool; and (ii) responding, by the submerged robot, to the unique signals.

Abstract: There is provided a method for estimating a status of a fluid filter of a cleaning device, the method includes performing, at one or more measurement iterations, one or more first fluid pressure measurements of fluid within the cleaning device while the cleaning device actively moves fluid within the cleaning device; performing, at the one or more measurement iterations, one or more second fluid pressure measurements of fluid within the cleaning device while the cleaning device does not actively move fluid within the cleaning device; predicting a future status of the fluid filter, based on the one or more first fluid pressure measurements and the one or more second fluid pressure measurements; and responding to the predicting.

Abstract: A method of navigating a dynamic pool equipment unit in a water pool, comprising: receiving sensory data captured by a plurality of sensors of a dynamic pool equipment unit moving in a water pool, mapping, based on analysis of the sensory data, one or more geometrically distinguishable surfaces of the water pool which is geometrically distinguishable from any adjacent surface of the water pool, generating a map of the water pool based on the mapped one or more geometrically distinguishable surface, and outputting the water pool map for navigating one or more dynamic pool. Wherein the plurality of sensors employ a plurality of different sensing technologies.

Abstract: Disclosed herein is a method of detecting stalled state of a dynamic pool equipment unit, comprising receiving a plurality of movement features relating to a dynamic pool equipment unit deployed in a water pool which are captured during a predefined sampling window and comprise (1) motion features of the pool equipment unit, and (2) operational features of electric motor(s) of the pool equipment unit, determining a movement pattern of the pool equipment unit using one or more statistical models applied to the plurality of movement features which are trained to estimate a stalled state of the pool equipment unit in which the pool equipment unit is pitched up and unable to advance on a slopped obstacle in the water pool, and causing the pool equipment unit to stop attempted advance in a current direction responsive to determining that the pool equipment unit is in the stalled state.

Abstract: Disclosed herein is a method of detecting stalled state of a dynamic pool equipment unit, comprising receiving a plurality of movement features relating to a dynamic pool equipment unit deployed in a water pool which are captured during a predefined sampling window and comprise (1) motion features of the pool equipment unit, and (2) operational features of electric motor(s) of the pool equipment unit, determining a movement pattern of the pool equipment unit using one or more statistical models applied to the plurality of movement features which are trained to estimate a stalled state of the pool equipment unit in which the pool equipment unit is pitched up and unable to advance on a slopped obstacle in the water pool, and causing the pool equipment unit to stop attempted advance in a current direction responsive to determining that the pool equipment unit is in the stalled state.

Abstract: A method of evaluating slipperiness of a floor surface of a water pool by inducing one or more rotation scans of a pool equipment unit by driving a power pulse to one or more electric motors configured to rotate the pool equipment unit deployed on a floor surface of a water pool and at least partially submerged in water of the water pool, accumulating power values of the power pulse while its level is above a motor operation threshold, accumulating values of angular velocity of the pool equipment unit measured starting after the power pulse drops below the threshold until the pool equipment unit stops rotating; computing work energy invested to rotate the pool equipment unit based on the power values and the angular velocity values; computing a slipperiness index of the floor surface based on the work energy; and initiating one or more actions according to the slipperiness index.

Abstract: A method for determining a temperature of a fluid of a pool, the method may include: measuring at least one pool cleaning robot (PCR) parameter in relation to a period of time and by one or more PCR sensors located within an interior of the PCR; calculating at least one period of time PCR parameter; determining at least one value of at least one PCR parameter weight based on at least one value of the at least one period of time PCR parameter; and determining the temperature of the fluid of the pool based on the at least one period of time PCR parameter and the at least one PCR parameter weight.

Abstract: A method of evaluating slipperiness of a floor surface of a water pool by inducing one or more rotation scans of a pool equipment unit by driving a power pulse to one or more electric motors configured to rotate the pool equipment unit deployed on a floor surface of a water pool and at least partially submerged in water of the water pool, accumulating power values of the power pulse while its level is above a motor operation threshold, accumulating values of angular velocity of the pool equipment unit measured starting after the power pulse drops below the threshold until the pool equipment unit stops rotating; computing work energy invested to rotate the pool equipment unit based on the power values and the angular velocity values; computing a slipperiness index of the floor surface based on the work energy; and initiating one or more actions according to the slipperiness index.

Abstract: A method for navigating a movable pool related platform (PRP), the method includes moving the movable PRP along a home direction, wherein the movable PRP is associated with a gyroscope and with a magnetometer, wherein the moving is based on a gyroscope-based direction of movement estimate, wherein the gyroscope was aligned with the magnetometer. The magnetometer was calibrated during a calibration process that includes (i) determining, by a controller of the movable PRP, a mapping between magnetometer readings and a magnetometer-based direction of movement estimate; wherein the mapping is based, at least in part, on a first range of the first axis magnetometer readings and a second range of the second axis magnetometer readings; and (ii) performing an alignment iteration that comprises aligning, by the controller, between the magnetometer-based direction of movement estimate and the gyroscope-based direction of movement estimate.

Abstract: Disclosed herein are systems and methods for estimating water turbidity using image data, comprising analyzing a plurality of images of one or more objects submerged in water captured under water from a plurality of distances, calculating a luma value for each of a plurality of pixels along one or more gradient lines across the object(s) in each of the plurality of images, calculating, for each image, a respective maximal intensity change between a lowest luma value and a highest luma value of the pixels along the gradient line(s) in the respective image, evaluating a turbidity of the water based on mapping of the respective maximal intensity change to each of the plurality of distances, and initiating one or more actions in case the turbidity exceeds a certain threshold.

Abstract: A pool cleaning robot that may include a hollow body, a fluid input, a fluid output, a propulsion unit for moving the pool cleaning robot within a pool, a filtering unit, and a sensing module that comprises a gas pressure sensor, a first space, a second space and a diaphragm; wherein the diaphragm seals the second space and separates the first space from the second space; wherein the diaphragm, via the first space, is fluidly coupled to the filtering unit; wherein the diaphragm is configured to define a gas pressure within the second space as a function of, at least, a fluid pressure within the first space; wherein the gas pressure sensor is located within the second space and is configured to measure the gas pressure within the second space.

Abstract: A pool cleaning robot that may include a hollow body, a fluid input, a fluid output, a propulsion unit for moving the pool cleaning robot within a pool, a filtering unit, and a sensing module that comprises a gas pressure sensor, a first space, a second space and a diaphragm; wherein the diaphragm seals the second space and separates the first space from the second space; wherein the diaphragm, via the first space, is fluidly coupled to the filtering unit; wherein the diaphragm is configured to define a gas pressure within the second space as a function of, at least, a fluid pressure within the first space; wherein the gas pressure sensor is located within the second space and is configured to measure the gas pressure within the second space.