An autonomous vehicle (AV) delivery system is configured to deliver a payload or package in a rural and/or urban environment. The AV delivery system includes a first autonomous vehicle (AV). The first AV is configured to travel between a payload receiving location and a payload drop location. The AV delivery system further includes a second autonomous vehicle (AV) coupled to the first AV. The second AV is coupled to a payload and configured to travel between the first AV and a designated drop target adjacent to a ground or receiving surface at the payload drop location.

An autonomous vehicle (AV) delivery system is configured to deliver a payload or package in a rural and/or urban environment. The AV delivery system includes a first autonomous vehicle (AV). The first AV is configured to travel between a payload receiving location and a payload drop location. The AV delivery system further includes a second autonomous vehicle (AV) coupled to the first AV. The second AV is coupled to a payload and configured to travel between the first AV and a designated drop target adjacent to a ground or receiving surface at the payload drop location.

A marine monitoring system includes a control device 1 and at least one flight vehicle 2. The control device 1 includes: a sensor unit 13 that measures at least one of an underwater environment and a sea-surface environment to acquire marine data; a control unit 16 that controls the flight vehicle 2; and a communication unit 15 that receives above-water data measured by the flight vehicle 2. The flight vehicle 2 includes a sensor unit 24 that measures an above-water environment according to control of the control device 1 to acquire the above-water data, and a communication unit 21 that transmits the above-water data to the control device 1.

A marine monitoring system includes a control device 1 and at least one flight vehicle 2. The control device 1 includes: a sensor unit 13 that measures at least one of an underwater environment and a sea-surface environment to acquire marine data; a control unit 16 that controls the flight vehicle 2; and a communication unit 15 that receives above-water data measured by the flight vehicle 2. The flight vehicle 2 includes a sensor unit 24 that measures an above-water environment according to control of the control device 1 to acquire the above-water data, and a communication unit 21 that transmits the above-water data to the control device 1.

A surveillance system is disclosed. The surveillance system may include a power source, a tether and an unmanned aerial vehicle (UAV). The tether may include tether proximal distal ends. The tether may obtain power from the power source via a tether connection unit connected to the tether distal end. The UAV may be removably attached to the tether proximal end and configured to obtain power from the tether. The UAV may obtain a trigger signal to follow a target object. The UAV may maneuver UAV movement to follow the target object responsive to obtaining the trigger signal. The UAV may additionally determine that a distance between the UAV and the tether connection unit may be equivalent to a tether length when the UAV may be following the target object. The UAV may detach from the tether when the distance may be equivalent to the tether length.

Disclosed is a method for obtaining meteorological data by a UAS, the UAS including at least one UAV, a control center and a wireless communication interface. The UAV is equipped with a meteorological data sensor and a flight controller. The method includes the control center sending flight instruction data to the UAV, and performing flight. The UAV collects raw meteorological data and flight data and transmits the collected raw meteorological data and the flight data in real time to the control center, the flight data being collected by any one of a position sensor, a motion sensor, an environment sensor and/or a combination thereof included in the flight controller. The control center calculates meteorological data based on the received raw meteorological data and the flight data and sends return instruction data. The at least one UAV returns to the UAS accordingly.

Disclosed is a method for obtaining meteorological data by a UAS, the UAS including at least one UAV, a control center and a wireless communication interface. The UAV is equipped with a meteorological data sensor and a flight controller. The method includes the control center sending flight instruction data to the UAV, and performing flight. The UAV collects raw meteorological data and flight data and transmits the collected raw meteorological data and the flight data in real time to the control center, the flight data being collected by any one of a position sensor, a motion sensor, an environment sensor and/or a combination thereof included in the flight controller. The control center calculates meteorological data based on the received raw meteorological data and the flight data and sends return instruction data. The at least one UAV returns to the UAS accordingly.

A method of controlling an aero wind power generation device, includes take-off preparation process of preparing for take-off of the aero wind power generation device; a gas injection process of injecting gas into a buoyancy generation unit of the aero wind power generation device; a take-off process of taking off the aero wind power generation device using a drone unit and the buoyancy generation unit of the aero wind power generation device; and a charging process of charging a battery connected to the aero wind power generation device using the aero wind power generation device.

A method of controlling an aero wind power generation device, includes take-off preparation process of preparing for take-off of the aero wind power generation device; a gas injection process of injecting gas into a buoyancy generation unit of the aero wind power generation device; a take-off process of taking off the aero wind power generation device using a drone unit and the buoyancy generation unit of the aero wind power generation device; and a charging process of charging a battery connected to the aero wind power generation device using the aero wind power generation device.

A robot sized and shaped for reception in a pipe, the robot including a chassis configured for movement of the robot in the pipe, a plurality of sensors including an inertial measurement unit (IMU), an encoder and a stereo vison camera associated with the robot, and a sensor fusion system operable to combine readings from the IMU, the encoder and the stereo vision camera to determine a position of the robot within the pipe, and wherein the sensor fusion system is operable to use machine learning in creating a digital twin of the pipe.