Sri International

John Peter Marcotullio

Bhaskar S Ramamurthy

Phillip Andrew Porras

Manish Kothari

Michael G Corr

David A Watt

Steven Mark Dawson

David Manseau

Supun Samarasekera

Thomas P Low

Prasad Narasimha Akella

Jonathan D Brookshire

Usman Ghani

Tobenna Arodiogbu

A hybrid control system includes a control agent and a control engine. The control engine is configured to install a master plan to the control agent. The master plan includes a plurality of high-level tasks. The control agent is configured to operate according to the master plan to, for each high-level task of the high-level tasks, obtain one or more low-level controls and to perform the one or more low-level controls to realize the high-level task. The control agent is configured to operate according to the master plan to transition between the plurality of high-level tasks thereby causing a seamless transition between operating at least partially autonomously and operating at least partially based on input from the tele-operator, based at least on context for the control agent, to operate at least partially autonomously and at least partially based on input from the tele-operator during execution of the master plan.

Advanced control system with multiple control paradigms

A system comprises one or more observation stations. Each observation station of the one or more observation stations comprises a corresponding set of one or more sensors. Additionally, the system comprises one or more physical machines that implement a computation engine configured to receive first observation data from the one or more observation stations. The computation engine may use the first observation data to train a machine learning system. The computation engine may subsequently use the trained machine learning system to provide feedback regarding an additional instance of the observation subject. The computation engine outputs the feedback.

Computational analysis of observations for determination of feedback

In one embodiment, the present invention is a method and apparatus for identifying wireless transmitters. In one embodiment, a method for identifying a transmitter in a wireless computing network includes extracting one or more radio frequency signal characteristics from a communication from the transmitter and generating a fingerprint of the transmitter in accordance at least one of the extracted radio frequency signal characteristics.

Method and apparatus for identifying wireless transmitters

In one embodiment, the present invention is a method and apparatus for wireless network security. In one embodiment, a method for securing a wireless computing network includes receiving a communication from an unidentified transmitter, identifying the transmitter in accordance with a fingerprint generated from one or more radio frequency signal characteristics extracted from the communication, and taking action in response to an identity of the transmitter.

Method and apparatus for wireless network security

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Morgan Hill, CA, United States of America

John Peter Marcotullio