Nathan A Hunt

US Patent:

8620630, Dec 31, 2013

Filed:

Jan 24, 2011

Appl. No.:

13/012651

Inventors:

Nathan Hunt - Berkeley CA, US
Marc Bensadoun - Berkeley CA, US

Assignee:

Newfield Wireless, Inc. - Berkeley CA

International Classification:

G06F 17/50
G06F 7/60
G06G 7/48

US Classification:

703 2, 703 1, 703 6, 703 7

Abstract:

Methods for accurately predicting radio propagation from signal strength measurements. Dynamic range limitations in the measurement data are explicitly taken into account. The resulting propagation models accurately predict signal strength for calculation of coverage and interference.

US Patent:

20060217944, Sep 28, 2006

Filed:

Mar 9, 2006

Appl. No.:

11/372154

Inventors:

Nathan Hunt - Berkeley CA, US
Marc Bensadoun - Berkeley CA, US

Assignee:

Newfield Wireless, Inc. - Berkeley CA

International Classification:

G06F 17/10
G06F 7/60

US Classification:

703002000

Abstract:

Methods for accurately predicting radio propagation from signal strength measurements. Dynamic range limitations in the measurement data are explicitly taken into account. The resulting propagation models accurately predict signal strength for calculation of coverage and interference.

US Patent:

20100088079, Apr 8, 2010

Filed:

Dec 8, 2009

Appl. No.:

12/633113

Inventors:

Nathan Hunt - Berkeley CA, US
Marc Bensadoun - Berkeley CA, US

Assignee:

NEWFIELD WIRELESS, INC. - Berkeley CA

International Classification:

G06F 17/10

US Classification:

703 2

Abstract:

Methods for accurately predicting radio propagation from signal strength measurements. Dynamic range limitations in the measurement data are explicitly taken into account. The resulting propagation models accurately predict signal strength for calculation of coverage and interference.

US Patent:

20140066078, Mar 6, 2014

Filed:

Aug 2, 2012

Appl. No.:

13/564991

Inventors:

Nathan Hunt - Berkeley CA, US
Marc Bensadoun - Berkeley CA, US

Assignee:

NEWFIELD WIRELESS, INC. - Berkeley CA

International Classification:

H04W 16/18

US Classification:

455446, 455 6711

Abstract:

Methods for accurately predicting radio propagation from signal strength measurements. Dynamic range limitations in the measurement data are explicitly taken into account. The resulting propagation models accurately predict signal strength for calculation of coverage and interference.

US Patent:

20220261630, Aug 18, 2022

Filed:

Feb 18, 2021

Appl. No.:

17/179015

Inventors:

- Armonk NY, US
Subhro Das - Cambridge MA, US
Nathan Hunt - Cambridge MA, US
Trong Nghia Hoang - Cambridge MA, US

International Classification:

G06N 3/08
G06N 3/04

Abstract:

Embodiments of the disclosure provide a reinforcement learning model configured to receive state data (e.g., image state data) and determine candidate actions (e.g., environment navigation actions, environment modification actions, etc.) based on the received state data. Embodiments of the disclosure further provide an object detector configured to generate symbolic state data (e.g., safety relevant data) from the state data. Accordingly, as described herein, a safety system can update a dynamical safety constraint based on the symbolic state data, as well as filter the actions determined by the reinforcement learning model and select an action to be executed based on the dynamical safety constraint. For instance, the safety system classifies each action (e.g., each candidate action determined by the reinforcement learning model) in each symbolic state as either “safe” or “not safe” based on the dynamical safety constraint (e.g., and a safe action may be selected and executed).