Qualcomm Incorporated

Marcelo Ceribelli

Benjamin Lund

Lael Pearce

Michael Franco Taveira

Arjun Prakash

Various embodiments enable delivering an item using an unmanned autonomous vehicle (UAV) in response to receiving an electronic order for an item. Order parameters may be determined based on the electronic order identifying the item and details regarding delivery of the item. UAV components may be selected for operating the UAV based on UAV parameters meeting the order parameters. UAV-compliant packaging parameters may be determined for transporting the item carried by the UAV. Selected UAV-compliant packaging may enable the UAV to meet at least some of the order parameters and the UAV parameters. Assembly of the UAV may be coordinated to include the selected UAV components and selected UAV-compliant packaging with the item therein. The selected UAV-compliant packaging may meet the determined UAV-compliant packaging parameters. The assembled UAV and packaging may be dispatched for delivering the item.

Customized packaging for unmanned autonomous vehicle item delivery

Various embodiments include methods for piggybacking an unmanned aerial vehicle (UAV) on a vehicle (e.g., motor vehicles and trailers coupled to motor vehicles) to reach a destination. Various embodiments may include determining whether to dock on a vehicle. One or more candidate vehicles may be identified for docking. Travel profile characteristics of the one or more candidate vehicles may be identified. A first vehicle may be selected from the one or more candidate vehicles based on one or more travel profile characteristics that assist the UAV in reaching the UAV destination. The UAV may dock with the first vehicle. While docked to the first vehicle the UAV may charge an onboard battery via an electrical connection in a docking structure or by harvesting energy in the wind caused by movement of the vehicle by configuring the UAV rotors to charge the battery.

Piggybacking unmanned aerial vehicle

Methods, devices, and systems of various embodiments are disclosed for exploiting opportunistic energy harvesting conditions for an unmanned autonomous vehicle (UAV). Various embodiments include determining mission power parameters for the UAV and accessing energy-harvesting data. A suitability of an energy-harvesting site for stationary energy harvesting by the UAV may be assessed based on the mission power parameters and the energy-harvesting data. In addition, an initial course of the UAV may be adjusted based on the assessment of the suitability of the energy-harvesting site. Stationary energy harvesting may include a process performed by the UAV that derives energy by conversion from an external power source while in a fixed position and/or in contact with an adjacent object.

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San Diego, CA, United States of America

Marcelo Ceribelli