Abstract: A system comprising a robot and a robot base station is described. The processor of the robot base station is configured to receive information about a potential water leak and cause transmission of a first command to cause the robot to traverse an area associated with the potential water leak. The processor of the robot is configured to receive the first command from the robot base station, cause the robot to traverse the area associated with the potential water leak, and determine, using at least a sensor, that a liquid corresponding to the potential water leak is present in the area. Further, the processor of the robot is further configured to determine information about the liquid and cause transmission of a first indication to the robot base station, where the first indication indicates that the liquid is present in the area and the information about the liquid.

Abstract: A system comprising a robot and a robot base station is described. The processor of the robot base station is configured to receive information about a potential water leak and cause transmission of a first command to cause the robot to traverse an area associated with the potential water leak. The processor of the robot is configured to receive the first command from the robot base station, cause the robot to traverse the area associated with the potential water leak, and determine, using at least a sensor, that a liquid corresponding to the potential water leak is present in the area. Further, the processor of the robot is further configured to determine information about the liquid and cause transmission of a first indication to the robot base station, where the first indication indicates that the liquid is present in the area and the information about the liquid.

Abstract: A system configured to communicate with a plurality of premises monitoring systems. The system includes at least one processor configured to, for each premises monitoring system of a first subset of the premises monitoring systems, receive premises data comprising flood sensor data indicating that a potential water leak, receive user confirmation data confirming that a water leak event occurred at the premises, identify at least one camera associated with the premises monitoring system that captured video of at least a portion of the water leak event, and collect the video captured by the at least one camera. A machine learning (ML) model is trained using the video collected from each premises monitoring system of the first subset of the premises monitoring systems. The ML model is deployed to at least a second subset of the plurality of premises monitoring systems for detecting a water leak.

Abstract: A system configured to communicate with a plurality of premises monitoring systems. The system includes at least one processor configured to, for each premises monitoring system of a first subset of the premises monitoring systems, receive premises data comprising flood sensor data indicating that a potential water leak, receive user confirmation data confirming that a water leak event occurred at the premises, identify at least one camera associated with the premises monitoring system that captured video of at least a portion of the water leak event, and collect the video captured by the at least one camera. A machine learning (ML) model is trained using the video collected from each premises monitoring system of the first subset of the premises monitoring systems. The ML model is deployed to at least a second subset of the plurality of premises monitoring systems for detecting a water leak.

Abstract: A system comprising a robot and a robot base station is described. The processor of the robot base station is configured to receive information about a potential water leak and cause transmission of a first command to cause the robot to traverse an area associated with the potential water leak. The processor of the robot is configured to receive the first command from the robot base station, cause the robot to traverse the area associated with the potential water leak, and determine, using at least a sensor, that a liquid corresponding to the potential water leak is present in the area. Further, the processor of the robot is further configured to determine information about the liquid and cause transmission of a first indication to the robot base station, where the first indication indicates that the liquid is present in the area and the information about the liquid.

Abstract: A device for providing noninvasive electrical stimulation of a single acupuncture site for treatment of nausea with capacitor-based voltage regulated circuitry is disclosed. The device is made up of a wristwatch-like housing adapted to be worn on a human wrist. A band attaches the device to the ventral side of the wrist, positioned over the P6 acupuncture point. The device contains a power supply, electrical circuity and at least two electrodes mounted to the inner face of the device, positioned in electrically conductive contact with the mist, which deliver electrostimulation to the P6 point. Within the electrical circuitry is a voltage boost regulator, which limits the output voltage of the device to 30 Volts. This is done to prevent uncomfortable electric shock to the user when the electrodes do not make sufficient contact with the user's skin.