John P Dougherty

20210380139, Dec 9, 2021

Jun 4, 2020

16/893112

- San Diego CA, US
John Anthony Dougherty - Philadelphia PA, US

B60W 60/00
B60W 40/08
G06F 3/01
G06K 9/00

Various embodiments include methods and vehicles, such as a semi-autonomous vehicle, for safely operating a vehicle based on vehicle-control gestures made by an occupant. Exemplary implementations may include determining a first vehicle action by applying a first passenger profile to a detected first vehicle-control gesture performed by a first passenger, determining whether the first vehicle action is safe to perform, and operating the vehicle to implement the first vehicle action in response to determining that the first vehicle action is safe for the vehicle and occupants. The first passenger profile may be selected from a plurality of passenger profiles to normalize vehicle-control gestures received from the first passenger. The vehicle control gesture may be ignored or a vehicle action differing from but similar to the first vehicle action may be implemented in response to determining that the first vehicle action is unsafe for the vehicle or occupants.

20200200563, Jun 25, 2020

Aug 8, 2019

16/535446

- San Diego CA, US
Jonathan Paul Davis - Philadelphia PA, US
Michael Joshua Shomin - Philadelphia PA, US
Stephen Marc Chaves - Philadelphia PA, US
John Anthony Dougherty - Philadelphia PA, US
Aleksandr Kushleyev - Philadelphia PA, US
Travis Van Schoyck - Princeton NJ, US
Ross Eric Kessler - Philadelphia PA, US
Moussa Ben Coulibaly - Brookhaven PA, US
Kristen Wagner Cerase - Newark DE, US

G01C 21/36
G08G 1/01
G01C 21/34

Various embodiments include methods, systems, and devices for interactively controlling traffic. The method, which may be performed by operations of the systems and/or devices, may include receiving, for example by an interactive traffic control device, refined location and state information associated with a first vehicle on a roadway. The interactive traffic control device may also determine at least one notable element in the refined location and state information, customized dynamic traffic control instructions based on the refined location and state information, and whether the customized dynamic traffic control instructions conflict with the at least one notable element. In addition, the interactive traffic control device may transmit the customized dynamic traffic control instructions to the first vehicle in response to determining the customized dynamic traffic control instructions do not conflict with the at least one notable element.

20200201353, Jun 25, 2020

Aug 8, 2019

16/535430

- San Diego CA, US
Jonathan Paul Davis - Philadelphia PA, US
Michael Joshua Shomin - Philadelphia PA, US
Stephen Marc Chaves - Philadelphia PA, US
John Anthony Dougherty - Philadelphia PA, US
Aleksandr Kushleyev - Philadelphia PA, US
Travis Van Schoyck - Princeton NJ, US
Ross Eric Kessler - Philadelphia PA, US
Moussa Ben Coulibaly - Brookhaven PA, US
Kristen Wagner Cerase - Newark DE, US

G05D 1/02
H04W 4/40
G08G 1/0968

Various embodiments include methods and interactive traffic control devices for interactively controlling traffic, which may include receiving refined location and state information associated with individual vehicles on a roadway, and determining customized dynamic traffic control instructions for a first one or more of the individual vehicles. The determined customized dynamic traffic control instructions may be based on the received refined location and state information and offer an optional route alternative to a set limited number of the individual vehicles. The first customized dynamic traffic control instructions may be transmitted by the interactive traffic control device to the first one or more of the individual vehicles.

20200202711, Jun 25, 2020

Aug 8, 2019

16/535408

- San Diego CA, US
Jonathan Paul Davis - Philadelphia PA, US
Michael Joshua Shomin - Philadelphia PA, US
Stephen Marc Chaves - Philadelphia PA, US
John Anthony Dougherty - Philadelphia PA, US
Aleksandr Kushleyev - Philadelphia PA, US
Travis Van Schoyck - Princeton NJ, US
Ross Eric Kessler - Philadelphia PA, US
Moussa Ben Coulibaly - Brookhaven PA, US
Kristen Wagner Cerase - Newark DE, US

G08G 1/09
G08G 1/0968
G01C 21/34

Various embodiments include methods and interactive traffic control devices implementing such methods to receive refined location and state information associated with individual vehicles and determine first customized dynamic traffic control instructions for a first one or more of the individual vehicles and second customized dynamic traffic control instructions for a second one or more of the individual vehicles different from the first one or more of the individual vehicles. The first customized dynamic traffic control instructions may be transmitted to the first one or more of the individual vehicles, and the second customized dynamic traffic control instructions may be transmitted to the second one or more of the individual vehicles.

20200029768, Jan 30, 2020

Jul 24, 2018

16/043564

- San Diego CA, US
Stephen Marc Chaves - Philadelphia PA, US
Michael Joshua Shomin - Philadelphia PA, US
Matthew Hyatt Turpin - Waltham MA, US
John Anthony Dougherty - Philadelphia PA, US
Ross Eric Kessler - Philadelphia PA, US
Jonathan Paul Davis - Philadelphia PA, US

A47L 9/28
G06T 7/00
G06K 9/00

Various embodiments include processing devices and methods for managing cleaning robot behavior. In some embodiments, a processor of the cleaning robot may obtain one or more images of the location of a structure from a camera external to the cleaning robot. The processor may analyze the one or more images of the location. The processor may determine one or more mess parameters of a mess in the location based on the analysis of the one or more images of the location. The processor may generate an instruction for the cleaning robot to schedule an operation of the cleaning robot based on the one or more mess parameters. The processor may execute the generated instruction to perform the operation of the cleaning robot.

20200029771, Jan 30, 2020

Jul 24, 2018

16/043532

- San Diego CA, US
Stephen Marc CHAVES - Philadelphia PA, US
Michael Joshua SHOMIN - Philadelphia PA, US
Matthew Hyatt TURPIN - Waltham MA, US
John Anthony DOUGHERTY - Philadelphia PA, US
Ross Eric KESSLER - Philadelphia PA, US
Jonathan Paul DAVIS - Philadelphia PA, US
Travis VAN SCHOYCK - Princeton NJ, US

A47L 11/40
A47L 9/28
F24F 11/30
G05D 1/00
G05D 1/02

Various embodiments include processing devices and methods for managing cleaning robot behavior. In some embodiments, a processor of the cleaning robot may determine operational information about operations of a heating, ventilation, and air conditioning (HVAC) system for at least one room in a structure. The processor may determine a time when operation of the HVAC system will end based on the determined operational information. The processor may generate an instruction for the cleaning robot to schedule an operation of the cleaning robot for a time after operation of the HVAC system will end. The processor may execute the generated instruction to perform the operation of the cleaning robot after operation of the HVAC system ends.

20200029772, Jan 30, 2020

Jul 24, 2018

16/043635

- San Diego CA, US
Stephen Marc CHAVES - Philadelphia PA, US
Michael Joshua SHOMIN - Philadelphia PA, US
Matthew Hyatt TURPIN - Waltham MA, US
John Anthony DOUGHERTY - Philadelphia PA, US
Ross Eric KESSLER - Philadelphia PA, US
Jonathan Paul DAVIS - Philadelphia PA, US
Travis VAN SCHOYCK - Princeton NJ, US

A47L 11/40
A47L 9/28
G05D 1/00
G05D 1/02

Various embodiments include processing devices and methods for managing cleaning robot behavior. In some embodiments, a processor of the cleaning robot may obtain information about one or more cleaning operations in one or more locations of a structure. The processor may analyze the information about the one or more cleaning operations in the one or more locations. The processor may determine one or more cleaning parameters for the cleaning robot based on the analysis of the information about the one or more cleaning operations. Processor may generate an instruction for the cleaning robot to schedule an operation of the cleaning robot based on the one or more cleaning parameters. The processor may execute the generated instruction to perform the operation of the cleaning robot.

20200029774, Jan 30, 2020

Jul 24, 2018

16/043663

- San Diego CA, US
Stephen Marc CHAVES - Philadelphia PA, US
Michael Joshua SHOMIN - Philadelphia PA, US
Matthew Hyatt TURPIN - Waltham MA, US
John Anthony DOUGHERTY - Philadelphia PA, US
Rose Eric KESSLER - Philadelphia PA, US
Jonathan Paul DAVIS - Philadelphia PA, US
Travis VAN SCHOYCK - Princeton NJ, US

A47L 11/40
G05D 1/00

Various embodiments include processing devices and methods for managing cleaning behavior by a cleaning robot. In some embodiments, a processor of the cleaning robot may obtain user planning information and user location information from one or more information sources external to the cleaning robot. The processor may analyze the user planning information and the user location information. The processor may determine one or more cleaning parameters for the cleaning robot based on the analysis of the user planning information and the user location information. The processor may generate an instruction for the cleaning robot to schedule an operation of the cleaning robot based on the one or more cleaning parameters. The processor may execute the generated instruction to perform the operation of the cleaning robot.