Said control system comprises: a remote device comprising: a remote module for acquiring flight plan data, and a remote module for calculating a remote trajectory or a remote setpoint according to the flight plan data; an on-board device comprising: an on-board module for acquiring flight plan data, an on-board module for calculating an on-board trajectory or an on-board setpoint according to the data acquired by the on-board acquisition module.

The remote device comprises a module for validating the trajectory which is configured to: acquire the on-board and remote trajectory or setpoint; validate or reject the on-board trajectory or setpoint according to the remote trajectory or setpoint; transmit the result of the validation to the on-board device.

Systems and techniques are provided for charging devices at a property using battery-charging drones. In some implementations, a monitoring system is configured to monitor a property and includes a battery-powered sensor configured to generate sensor data. The system includes a drone that is configured to navigate the property and charge the battery-powered sensor. A monitor control unit is configured to obtain a battery level from the battery-powered sensor and compare the battery level to a battery level threshold. Based on the comparison, the monitor control unit determines that the battery level does not satisfy the threshold. Based on the determination, the monitor control unit generates and transmits an instruction to a drone for the drone to navigate to the battery-powered sensor and charge a battery of the battery-powered sensor. The monitor control unit receives data from the drone that indicates whether the drone charged the battery of the sensor.

A control method and device of a movable platform, a movable platform, and a storage medium are provided. The control method may include acquiring a control amount for controlling the movable platform; converting the control amount into control instruction of the movable platform based upon a position of the movable platform and a position of a target object photographed by the movable platform; and controlling the movable platform to move relative to the target object according to the control instruction.

An agricultural amphibious bait feeding boat includes a boat body. A bait feeding device is fixed to one end of the boat body, and a propulsion device is fixed to the other end of the boat body. The boat body includes two foam floating bodies, foam fixing carbon rods, a transverse carbon rod, tube ferrule fixing assemblies, and tee joints. The two foam floating bodies include a left foam floating body and a right foam floating body, the foam fixing carbon rods parallel to each other are respectively arranged above the two foam floating bodies, and the foam floating bodies and the foam fixing carbon rods are fixed through the tube ferrule fixing assemblies The transverse carbon rod is connected to the foam fixing carbon rods through the tee joints, and the left foam floating body and the right foam floating body are fixedly connected to each other.

The unmanned flying vaccine administration system comprises a drone, a vaccine delivery system, an interaction system. The drone is a vaccine injection flying robot that avoids the dangers of in-person vaccination. The vaccine delivery system is an electronic system that harnesses the power of technology to vaccinate people safely and efficiently. The interaction system is an electronic system armed with an Artificial Intelligence infrastructure. The present invention gathers energy by solar power, administers vaccines with a vaccine injection arm, and properly stores vaccines at the desired temperature with a storage container. The computing device controls the main modules that are designed for vaccine delivery and administration. The interaction system has a patient interface camera, a patient interface display, and a temperature sensor that monitor the state of the patient after receiving a vaccination to ensure the health and safety of the patient.

In some examples, an unmanned aerial vehicle (UAV) may determine, based on a three-dimensional (3D) model including a plurality of points corresponding to a scan target, a scan plan for scanning at least a portion of the scan target. For instance, the scan plan may include a plurality of poses for the UAV to assume to capture images of the scan target. The UAV may capture with one or more image sensors, one or more images of the scan target from one or more poses of the plurality of poses. Further, the UAV may determine an update to the 3D model based at least in part on the one or more images. Additionally, the UAV may update the scan plan based at least in part on the update to the 3D model.

A system for fly by view in an electric aircraft, where the system includes an electric aircraft, where the electric aircraft further includes at least a flight component mechanically coupled to the electric aircraft, a battery assembly and at least on video transmitter coupled to the electric aircraft, where the at least one video transmitter is configured to transmit a pilot stream to a first-person-view headset. The system also includes a first-person-view headset, where the first-person-view headset is configured to receive the pilot stream from at least one video transmitter, and display the pilot stream to a user, where displaying the pilot stream includes displaying a flight time remaining metric as a function of the remaining charge of the battery, and displaying a flight component output metric as a function of the performance of the flight component.

A method and system for controlling autonomous vehicles comprises a flight controller comprising at least one processor and a computer-usable medium embodying computer program code, the computer-usable medium capable of communicating with at least one processor, the computer program code comprising instructions executable by at least one processor and configured for controlling a vehicle, the flight controller further comprising: an obstacle avoidance module, a state machine, a data link module, and a control computer module.

A delivery management server includes: a control module for searching for a plurality of delivery locations located on a navigation route among the navigation information and transmitting the searched delivery locations, when order information and navigation information of goods are received; and a determination module for determining an assembly point to receive goods loaded in an unmanned cargo aircraft according to the order information and an unmanned delivery robot to receive the goods from the assembly point and deliver them to the delivery location to receive the goods from the assembly point and deliver the same to the delivery location, so that the goods can be delivered to the delivery location within the estimated arrival time, when the delivery location selected by the user among the plurality of delivery locations and the estimated arrival time of the vehicle to the selected delivery location are received.

A system for aerial neutralization of a detected target aerial vehicle comprises a plurality of counter-attack unmanned aerial vehicles (UAVs), and an aerial vehicle capture countermeasure coupling together the plurality of counter-attack UAVs, to intercept and capture a detected target aerial vehicle in a coordinated manner. The system comprises an aerial vehicle detection system comprising at least one detection sensor operable to detect the target aerial vehicle, and operable to provide command data to at least one counter-attack UAV for tracking and neutralizing the target aerial vehicle. The counter-attack UAVs and a net can be deployed from a movable base station, and the net can be carried in a low-drag configuration until the counter-attack UAVs operate to deploy or open the net. The counter-attack UAVs and systems may be autonomously operated. Associated systems and methods are provided.