Patents by Inventor Nathan Michael Paczan
Nathan Michael Paczan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20230019041Abstract: This disclosure describes a collective UAV in which multiple UAVs may be coupled together to form the collective UAV. A collective UAV may be used to aerially transport virtually any size, weight or quantity of items, travel longer distances, etc. For example, rather than using one large UAV to carry a larger or heavier item, multiple smaller UAVs may couple together to form a collective UAV that is used to carry the larger or heavier item.Type: ApplicationFiled: September 16, 2022Publication date: January 19, 2023Inventors: Nathan Michael Paczan, Michael John Elzinga, Raphael Hsieh, Luan Khai Nguyen
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Patent number: 11480958Abstract: This disclosure describes a collective UAV in which multiple UAVs may be coupled together to form the collective UAV. A collective UAV may be used to aerially transport virtually any size, weight or quantity of items, travel longer distances, etc. For example, rather than using one large UAV to carry a larger or heavier item, multiple smaller UAVs may couple together to form a collective UAV that is used to carry the larger or heavier item.Type: GrantFiled: February 19, 2015Date of Patent: October 25, 2022Assignee: Amazon Technologies, Inc.Inventors: Nathan Michael Paczan, Michael John Elzinga, Raphael Hsieh, Luan Khai Nguyen
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Patent number: 10629082Abstract: Techniques for managing a flow of an unmanned vehicle within a space may be described. In particular, the unmanned vehicle may be determined as being location within the space. The space may be associated with metric that may be based on a plurality of other unmanned vehicles also located within the space. Pairs of location and time data may be computed for the unmanned vehicle. The pairs may represent a path for the unmanned vehicle to use within the space. The pairs of location data and time data computed based on data associated with the unmanned vehicle, data associated with at least one of the other unmanned vehicles, and the metric associated with the space. Once computed, the pairs may be provided to the unmanned vehicle.Type: GrantFiled: April 25, 2017Date of Patent: April 21, 2020Assignee: Amazon Technologies, Inc.Inventor: Nathan Michael Paczan
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Publication number: 20180308372Abstract: This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle (“UAV”) and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the received signal with known sources signals in a database. The features may be, for example, a light arrangement or number of lights associated with the object. Furthermore, a trajectory envelope for the object may be determined based on characteristic performance parameters for the object such as cursing speed, maneuverability, etc. The UAV may determine an optimized flight plan based on the trajectory envelopes of detected objects within the UAV's airspace to avoid the detected objects.Type: ApplicationFiled: March 29, 2017Publication date: October 25, 2018Inventors: Daniel Buchmueller, Nathan Michael Paczan
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Publication number: 20180308370Abstract: This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle (“UAV”) and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the received signal with known sources signals in a database. The features may include, for example, an acoustic signature emitted or reflected by the object. Furthermore, a trajectory envelope for the object may be determined based on characteristic performance parameters for the object such as cursing speed, maneuverability, etc. The UAV may determine an optimized flight plan based on the trajectory envelopes of detected objects within the UAV's airspace.Type: ApplicationFiled: April 7, 2017Publication date: October 25, 2018Inventors: Daniel Buchmueller, Nathan Michael Paczan
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Patent number: 10109204Abstract: This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle (“UAV”) and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the received signal with known sources signals in a database. The features may include, for example, an acoustic signature emitted or reflected by the object. Furthermore, a trajectory envelope for the object may be determined based on characteristic performance parameters for the object such as cursing speed, maneuverability, etc. The UAV may determine an optimized flight plan based on the trajectory envelopes of detected objects within the UAV's airspace.Type: GrantFiled: April 7, 2017Date of Patent: October 23, 2018Assignee: Amazon Technologies, Inc.Inventors: Daniel Buchmueller, Nathan Michael Paczan
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Patent number: 10109209Abstract: This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle (“UAV”) and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the received signal with known sources signals in a database. The features may be, for example, a light arrangement or number of lights associated with the object. Furthermore, a trajectory envelope for the object may be determined based on characteristic performance parameters for the object such as cursing speed, maneuverability, etc. The UAV may determine an optimized flight plan based on the trajectory envelopes of detected objects within the UAV's airspace to avoid the detected objects.Type: GrantFiled: March 29, 2017Date of Patent: October 23, 2018Assignee: Amazon Technologies, Inc.Inventors: Daniel Buchmueller, Nathan Michael Paczan
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Patent number: 9997079Abstract: This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle (“UAV”) and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the received signal with known sources signals in a database. The features may include, for example, a multispectral signature emitted or reflected by the object. Furthermore, a trajectory envelope for the object may be determined based on characteristic performance parameters for the object such as cursing speed, maneuverability, etc. The UAV may determine an optimized flight plan based on the trajectory envelopes of detected objects within the UAV's airspace.Type: GrantFiled: December 12, 2014Date of Patent: June 12, 2018Assignee: Amazon Technologies, Inc.Inventors: Nathan Michael Paczan, Daniel Buchmueller
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Patent number: 9764836Abstract: This disclosure provides egress and ingress for unmanned aerial vehicles (UAVs) from a fulfillment center (FC) to perform deliveries of products and return to the FC from such deliveries while providing minimal exposure of an interior of the FC. The UAV may be used to deliver the cargo from the FC to a destination, and then return to the FC to retrieve other cargo for another transport to another destination. In some embodiments, departing UAVs may be launched from the FC through a launch bay and returning UAVs may land upon a conveyance system to await being transported back into the FC. A flight coordinator may also provide assignments to the UAV based upon a current state of the UAV and other nearby UAVs and also based on a current order backlog of the FC and/or other considerations.Type: GrantFiled: June 9, 2015Date of Patent: September 19, 2017Assignee: Amazon Technologies, Inc.Inventors: Michael John Elzinga, Nathan Michael Paczan
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Patent number: 9761147Abstract: This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle (“UAV”) and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the received signal with known sources signals in a database. The features may be, for example, a light arrangement or number of lights associated with the object. Furthermore, a trajectory envelope for the object may be determined based on characteristic performance parameters for the object such as cursing speed, maneuverability, etc. The UAV may determine an optimized flight plan based on the trajectory envelopes of detected objects within the UAV's airspace to avoid the detected objects.Type: GrantFiled: December 12, 2014Date of Patent: September 12, 2017Assignee: Amazon Technologies, Inc.Inventors: Daniel Buchmueller, Nathan Michael Paczan
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Patent number: 9685089Abstract: This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle (“UAV”) and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the received signal with known sources signals in a database. The features may include, for example, an acoustic signature emitted or reflected by the objet. Furthermore, a trajectory envelope for the object may be determined based on characteristic performance parameters for the object such as cursing speed, maneuverability, etc. The UAV may determine an optimized flight plan based on the trajectory envelopes of detected objects within the UAV's air-space.Type: GrantFiled: December 12, 2014Date of Patent: June 20, 2017Assignee: Amazon Technologies, Inc.Inventors: Nathan Michael Paczan, Daniel Buchmueller
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Patent number: 9671791Abstract: Techniques for managing a flow of an unmanned vehicle within a space may be described. In particular, the unmanned vehicle may be determined as being location within the space. The space may be associated with metric that may be based on a plurality of other unmanned vehicles also located within the space. Pairs of location and time data may be computed for the unmanned vehicle. The pairs may represent a path for the unmanned vehicle to use within the space. The pairs of location data and time data computed based on data associated with the unmanned vehicle, data associated with at least one of the other unmanned vehicles, and the metric associated with the space. Once computed, the pairs may be provided to the unmanned vehicle.Type: GrantFiled: June 10, 2015Date of Patent: June 6, 2017Assignee: Amazon Technologies, Inc.Inventor: Nathan Michael Paczan
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Publication number: 20160378108Abstract: This disclosure describes a collective UAV in which multiple UAVs may be coupled together to form the collective UAV. A collective UAV may be used to aerially transport virtually any size, weight or quantity of items, travel longer distances, etc. For example, rather than using one large UAV to carry a larger or heavier item, multiple smaller UAVs may couple together to form a collective UAV that is used to carry the larger or heavier item.Type: ApplicationFiled: February 19, 2015Publication date: December 29, 2016Inventors: Nathan Michael Paczan, Michael John Elzinga, Raphael Hsieh, Luan Khai Nguyen
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Publication number: 20160247405Abstract: This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle (“UAV”) and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the received signal with known sources signals in a database. The features may include, for example, an acoustic signature emitted or reflected by the objet. Furthermore, a trajectory envelope for the object may be determined based on characteristic performance parameters for the object such as cursing speed, maneuverability, etc. The UAV may determine an optimized flight plan based on the trajectory envelopes of detected objects within the UAV's air-space.Type: ApplicationFiled: December 12, 2014Publication date: August 25, 2016Inventors: Nathan Michael Paczan, Daniel Buchmueller
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Publication number: 20160247407Abstract: This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle (“UAV”) and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the received signal with known sources signals in a database. The features may include, for example, a multispectral signature emitted or reflected by the objet. Furthermore, a trajectory envelope for the object may be determined based on characteristic performance parameters for the object such as cursing speed, maneuverability, etc. The UAV may determine an optimized flight plan based on the trajectory envelopes of detected objects within the UAV's airspace.Type: ApplicationFiled: December 12, 2014Publication date: August 25, 2016Inventors: Nathan Michael Paczan, Daniel Buchmueller
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Publication number: 20160171896Abstract: This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle (“UAV”) and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the received signal with known sources signals in a database. The features may be, for example, a light arrangement or number of lights associated with the object. Furthermore, a trajectory envelope for the object may be determined based on characteristic performance parameters for the object such as cursing speed, maneuverability, etc. The UAV may determine an optimized flight plan based on the trajectory envelopes of detected objects within the UAV's airspace to avoid the detected objects.Type: ApplicationFiled: December 12, 2014Publication date: June 16, 2016Inventors: Daniel Buchmueller, Nathan Michael Paczan