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Executing Reactive, Model-based Programs through Graph-based Temporal Planning

Executing Reactive, Model-based Programs through Graph-based Temporal Planning

Executing Reactive, Model-based Programs through Graph-based Temporal Planning. Phil Kim and Brian C. Williams, Artificial Intelligence and Space Systems Labs Massachusetts Institute of Technology Mark Abramson Draper Labs. Outline. Cooperative Vehicle Missions Model-based Programming

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835 views • 70 slides
ELN5622 Embedded Systems Class 3 Spring, 2003

ELN5622 Embedded Systems Class 3 Spring, 2003

ELN5622 Embedded Systems Class 3 Spring, 2003. Kent Orthner korthner@hotmail.com. Assembly Language Programming. Programming Conventions. Conventions: Rules that a designer follows to make his/her program easier to understand, communicate to other, debug, and less prone to mistakes.

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545 views • 42 slides
Aero/Astro Open House MERS Research Group Model-based Embedded and Robotic Systems Group

Aero/Astro Open House MERS Research Group Model-based Embedded and Robotic Systems Group

Aero/Astro Open House MERS Research Group Model-based Embedded and Robotic Systems Group Space Systems Laboratory Massachusetts Institute of Technology Friday, March 21, 2003. Motivation. Apollo 13 quintuple fault. Autonomous systems handle Faults Anomalies Communication

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481 views • 34 slides
A Unified Model-based Systems and Software Engineering Approach to ISHM

A Unified Model-based Systems and Software Engineering Approach to ISHM

A Unified Model-based Systems and Software Engineering Approach to ISHM. Michel Ingham, Gregory Horvath, David Wagner Jet Propulsion Laboratory, California Institute of Technology

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306 views • 17 slides

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