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# README # This README is for assignment of INB860 of QUT. ### What is this for? ### * This is an assignment from INB860, Computational Intelligence for Control and Embedded Systems * Lecturer: Frederic Maire * Group member: Yuxiang Wu, Marios Stavrakas (Group A) * Last update: 1 Jun 2014 ### Statement of completion: All behaviours have been demonstrated succesfully with no limitations. ### Statement of contribution:Both students have equally contributed for this assignment. ### Table of contents ### ├──INB 860- Unit report. ├── Calibration\ Programs │ ├── background.c │ └── compass.c ├── README.txt ├── Week06 │ ├── A1\ faster\ version.c │ ├── A1.c │ ├── A2.c │ └── Matlab │ ├── TheseusCrawler.m │ ├── demo_graph.m │ ├── localBearings.m │ ├── myBehaviorA3.m │ ├── myBehaviorA4.m │ ├── myBehaviorA5.m │ ├── plot_graph.m │ ├── shortestPath.m │ ├── simGraphNavigation.m │ └── simGraphNavigation_modified.m ├── Week07 │ ├── A6.c │ ├── A7\ quick.c │ └── A7.c ├── Week09 │ ├── B1.c │ └── B2.c ├── Week10 │ ├── B3.c │ ├── B4.c │ └── B5.c ├── Week12 │ ├── Matlab │ │ ├── A_star.m │ │ ├── D2.mat │ │ ├── backtrack.m │ │ ├── demo.m │ │ ├── heuristic.m │ │ ├── plotGreyPatch.m │ │ └── plotGrid.m │ └── RobotC │ ├── D1.c │ ├── D2.c │ └── D2.h └── Week13 ├── Matlab │ ├── E3.mat │ ├── compute_edit_dist.m │ ├── demo.m │ └── plotPattern.m └── RobotC ├── E1.c └── E2.c ### How do I get started with reading? ### Here are some guidelines: * You need a Lego Mindstorm NXT Kit to run the RobotC code * You will need a white board and black tape. * Each source file is self-contain. You don't need extra configuration once you download your firmware and the program into the robot. * You need to run the programs in "Calibration Programs" directories before you run most of the other programs. * You can find an assignment specification in root directory. * The directories are organized in chronological order. Their filenames indicate their corresponding behavior * Some of the behaviors, including A3, A4, A5, D2 and E3, involves Matlab simulation. You can find them in "Matlab" directories under corresponding week directory. ### Who do I talk to? ### * Yuxiang Wu (jimmywu2011@126.com)
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