The present invention relates to a technical idea for providing a delivery service on regular and irregular roads using autonomous vehicles. More specifically, the present invention relates to technology in which, on a regular road, a lead vehicle and at least one droid vehicle are coupled to each other and a delivery service is provided based on autonomous driving; and on an irregular road, the coupling between the lead vehicle and the droid vehicle is automatically released and the droid vehicle provides a delivery service by remotely controlling the driving of the droid vehicle by the lead vehicle in the last mile delivery section corresponding to the irregular road. According to one embodiment of the present invention, a system for providing a delivery service using autonomous vehicles may provide a delivery service on an irregular road where entry of normal vehicles is not allowed and a regular road where entry of small and low-speed vehicles is not allowed and may include a droid vehicle for providing a delivery service using limited autonomous driving performance in a last mile delivery section corresponding to the irregular road; and a lead vehicle for providing a delivery service based on autonomous driving on the regular road, transporting the droid vehicle by being coupled to the droid vehicle on the regular road, and remotely controlling driving of the droid vehicle after being separated from the droid vehicle in the last mile delivery section.

The present invention relates to a control method for a control apparatus for an aircraft, the control apparatus including a communication unit and a processor. The control method includes receiving an address of a delivery location to which a delivery product is to be delivered, and controlling an aircraft by means of the communication unit to deliver the delivery product to the delivery location, in which the controlling of the aircraft by means of the communication unit includes selecting, on the basis of the address, any one of a plurality of delivery criteria that defines an area into which the aircraft is to unload the delivery product, establishing a delivery area and a flight lane to the delivery area on the basis of the delivery criterion, controlling the aircraft to allow the aircraft to fly along the flight lane, and controlling the aircraft to unload the delivery product into the delivery area when the aircraft reaches the delivery area.

A method of carrying a UAV combined with a package on an assist vehicle (AV) in assisted travel mode over one route section, flying the UAV combined with a package over another route section, and carrying the UAV combined with the package on second AV in assisted travel mode over a third route section, the route sections being contiguous. Also, a method of flying a UAV combined with a package over one route section, carrying the UAV combined with the package on an AV in assisted travel mode over a second route section, and flying the UAV combined with the package over a third route section, the route sections being contiguous.

A method of carrying a UAV combined with a package on an assist vehicle (AV) in assisted travel mode over one route section, flying the UAV combined with a package over another route section, and carrying the UAV combined with the package on second AV in assisted travel mode over a third route section, the route sections being contiguous. Also, a method of flying a UAV combined with a package over one route section, carrying the UAV combined with the package on an AV in assisted travel mode over a second route section, and flying the UAV combined with the package over a third route section, the route sections being contiguous.

A robotic vehicle comprising a chassis and a manipulatable payload engagement portion, at least one sensor configured to acquire real-time sensor data, a pose validation system comprising computer program code executable by at least one processor to evaluate the sensor data to: determine if a goal pose of the robotic vehicle will result in a collision with infrastructure upon which the object is located when the engagement portion engages the object. If a potential collision is detected, the pose validation system can generate a signal to adjust the robotic vehicle's pose to avoid the collision. A corresponding method is also provided.

A robotic vehicle comprising a chassis and a manipulatable payload engagement portion, at least one sensor configured to acquire real-time sensor data, a pose validation system comprising computer program code executable by at least one processor to evaluate the sensor data to: determine if a goal pose of the robotic vehicle will result in a collision with infrastructure upon which the object is located when the engagement portion engages the object. If a potential collision is detected, the pose validation system can generate a signal to adjust the robotic vehicle's pose to avoid the collision. A corresponding method is also provided.

The present application relates to a control method of an aerial vehicle. The aerial vehicle may comprise a propulsion structure for providing flight power and a spraying apparatus for spraying a material. The control method may comprise determining current target information of the aerial vehicle during a process of the aerial vehicle performing a spraying task, wherein the current target information indicates wind field strength of a downward pressure wind field generated by the propulsion structure; determining, based on the current target information, a desired relative flight altitude of the aerial vehicle corresponding to the current target information relative to the material being sprayed below the aerial vehicle; and controlling the aerial vehicle to fly toward the desired relative flight altitude.

The present application relates to a control method of an aerial vehicle. The aerial vehicle may comprise a propulsion structure for providing flight power and a spraying apparatus for spraying a material. The control method may comprise determining current target information of the aerial vehicle during a process of the aerial vehicle performing a spraying task, wherein the current target information indicates wind field strength of a downward pressure wind field generated by the propulsion structure; determining, based on the current target information, a desired relative flight altitude of the aerial vehicle corresponding to the current target information relative to the material being sprayed below the aerial vehicle; and controlling the aerial vehicle to fly toward the desired relative flight altitude.

This application provides an obstacle avoidance method and apparatus, an electronic device, and a storage medium. The obstacle avoidance method is applicable to a robot. The robot is configured to move along a track in a rack area, and the method includes: detecting whether a suspected obstacle exists in a traveling direction, where the suspected obstacle protrudes beyond an edge of a rack; determining a relative position relationship between the suspected obstacle and a target position that the robot is required to reach along a current traveling direction when the suspected obstacle exists in the traveling direction; determining that the suspected obstacle is an obstacle when the suspected obstacle is located between a current position of the robot and the target position; and replanning a traveling route to avoid the obstacle.

This application provides an obstacle avoidance method and apparatus, an electronic device, and a storage medium. The obstacle avoidance method is applicable to a robot. The robot is configured to move along a track in a rack area, and the method includes: detecting whether a suspected obstacle exists in a traveling direction, where the suspected obstacle protrudes beyond an edge of a rack; determining a relative position relationship between the suspected obstacle and a target position that the robot is required to reach along a current traveling direction when the suspected obstacle exists in the traveling direction; determining that the suspected obstacle is an obstacle when the suspected obstacle is located between a current position of the robot and the target position; and replanning a traveling route to avoid the obstacle.