Steven Todd Curtis

US Patent:

7377172, May 27, 2008

Filed:

Jul 31, 2006

Appl. No.:

11/461302

Inventors:

Vernon T Jensen - Draper UT, US
Steven E Curtis - Salt Lake City UT, US

Assignee:

General Electric Company - Schenectady NY

International Classification:

A61B 6/02
G01L 11/00

US Classification:

73702, 378198

Abstract:

A system and method for detecting at least one force, impact, shock, or vibration event on an imaging system. The system comprises a main assembly, a support assembly coupled to the main assembly, and at least one sensor coupled to the imaging system. The at least one sensor is configured to detect at least one force, impact, shock, or vibration event occurring on the imaging system. The method comprises detecting at least one force, impact, shock, or vibration event occurring on the imaging system and providing an indication to a user when a force, impact, shock, or vibration event occurs on the imaging system.

US Patent:

7512568, Mar 31, 2009

Filed:

Apr 8, 2005

Appl. No.:

11/109400

Inventors:

Steven A. Curtis - Dayton MD, US

Assignee:

The United States of America as represented by the Administrator of the National Aeronautics and Space Administration - Washington DC

International Classification:

G06F 15/18
G05B 13/00

US Classification:

706 2, 700 28, 700248, 700 61

Abstract:

An evolvable synthetic neural system includes an evolvable neural interface operably coupled to at least one neural basis function. Each neural basis function includes an evolvable neural interface operably coupled to a heuristic neural system to perform high-level functions and an autonomic neural system to perform low-level functions. In some embodiments, the evolvable synthetic neural system is operably coupled to one or more evolvable synthetic neural systems in a hierarchy.

US Patent:

7769488, Aug 3, 2010

Filed:

Apr 8, 2005

Appl. No.:

11/108627

Inventors:

Steven A. Curtis - Dayton MD, US

Assignee:

The United States of America as represented by the Administrator of the National Aeronautics and Space Administration - Washington DC

International Classification:

G06F 19/00

US Classification:

700245, 700188, 700189, 700248, 700254, 180 81, 606 57, 41422601, 33645

Abstract:

A reconfigurable structure includes a plurality of selectively extensible and retractable limbs, at least one node pivotably receiving respective ends of at least two limbs, and an actuator associated with each limb for extending and retracting the limb. The structure may further include an addressable module associated with each actuator to control the actuator.

US Patent:

8041661, Oct 18, 2011

Filed:

Sep 26, 2007

Appl. No.:

11/861687

Inventors:

Steven A. Curtis - Dayton MD, US

Assignee:

The United States of America as represented by the Administrator of the National aeronautics and Space Administration - Washington DC

International Classification:

G06E 1/00
G06E 3/00

US Classification:

706 15, 706 16, 706 19

Abstract:

Disclosed are methods, systems, and computer-readable media for determining stability of a neural system. The method includes tracking a function world line of an N element neural system within at least one behavioral space, determining whether the tracking function world line is approaching a psychological stability surface, and implementing a quantitative solution that corrects instability if the tracked function world line is approaching the psychological stability surface.

US Patent:

8095485, Jan 10, 2012

Filed:

Jan 14, 2009

Appl. No.:

12/353637

Inventors:

Steven A. Curtis - Dayton MD, US

Assignee:

The United States of America as represented by the Administrator of the National Aeronautics and Space Administration - Washington DC

International Classification:

G06E 1/00

US Classification:

706 15

Abstract:

A system, method, and computer readable-media for creating a stable synthetic neural system. The method includes training an intellectual choice-driven synthetic neural system (SNS), training an emotional rule-driven SNS by generating emotions from rules, incorporating the rule-driven SNS into the choice-driven SNS through an evolvable interface, and balancing the emotional SNS and the intellectual SNS to achieve stability in a nontrivial autonomous environment with a Stability Algorithm for Neural Entities (SANE). Generating emotions from rules can include coding the rules into the rule-driven SNS in a self-consistent way. Training the emotional rule-driven SNS can occur during a training stage in parallel with training the choice-driven SNS. The training stage can include a self assessment loop which measures performance characteristics of the rule-driven SNS against core genetic code. The method uses a stability threshold to measure stability of the incorporated rule-driven SNS and choice-driven SNS using SANE.

US Patent:

8160728, Apr 17, 2012

Filed:

Sep 14, 2009

Appl. No.:

12/558672

Inventors:

Steven A. Curtis - Dayton MD, US

Assignee:

The United States of America as represented by the Administrator of the National Aeronautics and Space Administration - Washington DC

International Classification:

G06F 19/00
G05B 15/00

US Classification:

700 30, 700245, 700253, 700 48, 700258, 701 1

Abstract:

A method of determining complete sensor requirements for autonomous mobility of an autonomous system includes computing a time variation of each behavior of a set of behaviors of the autonomous system, determining mobility sensitivity to each behavior of the autonomous system, and computing a change in mobility based upon the mobility sensitivity to each behavior and the time variation of each behavior. The method further includes determining the complete sensor requirements of the autonomous system through analysis of the relative magnitude of the change in mobility, the mobility sensitivity to each behavior, and the time variation of each behavior, wherein the relative magnitude of the change in mobility, the mobility sensitivity to each behavior, and the time variation of each behavior are characteristic of the stability of the autonomous system.

US Patent:

8045481, Oct 25, 2011

Filed:

Oct 20, 2006

Appl. No.:

11/584227

Inventors:

Lyndon Y. Ong - Sunnyvale CA, US
Neena Aluri - Alpharetta GA, US
Alessandro Fabbri - Roswell GA, US
Steven P. Curtis - Atlanta GA, US
Vagish Madrahalli - Woodstock GA, US
Yalin Wang - San Jose CA, US

Assignee:

Ciena Corporation - Linthicum MD

International Classification:

H04L 12/28

US Classification:

370254, 370392, 370400, 370401, 370409

Abstract:

The present invention provides systems and methods for abstracting a network topology into virtual links and supporting both generic and instantiated virtualized links for linking a virtualized topology with actual resources within a domain, providing security over network topology information, providing control over the allocation of resources, and reducing the complexity of advertising.

US Patent:

20080169003, Jul 17, 2008

Filed:

Oct 10, 2007

Appl. No.:

11/870190

Inventors:

STEVEN A. CURTIS - Dayton MD, US

Assignee:

NASA Headquarters - Washington DC

International Classification:

C25F 1/00
B05B 5/053
G01N 1/00
B08B 7/00

US Classification:

134 1, 361226, 7386321, 977899

Abstract:

Systems and methods are provided through which in some embodiments for controlling intermolecular forces between a contact surface and a fabricated microstructure having a base and at least one or more nano-structures. The contact surface and the fabricated microstructure are joined by the interplay of electrostatic and van der Waals forces. The contact surface can be planetary dust with surfaces involved in planetary exploration, as well as synthetic gecko hairs that would allow small robots to climb walls and traverse ceilings. The system and method allow intense electrostatic forces to be applied at variable levels in order to modulate the effectiveness of van der Waals forces as well as external electrostatic forces. This device enables advanced small robot mobility, planetary dust control at all possible ambient pressures, as well as dust sample collection for exploration analysis.