Embedded Motion Control 2013 Group 9

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Revision as of 10:26, 19 September 2013 by S116607 (talk | contribs) (→‎Progress)
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Group members

Name: Student id: Email:
Jeroen Lamers 0771264 j.w.lamers@student.tue.nl
Rens Samplonius 0785119 r.j.samplonius@student.tue.nl
Haico Ploegmakers 0775395 h.e.c.w.ploegmakers@student.tue.nl
Frank Evers 0789890 f.evers@student.tue.nl
Filipe Catarino 0821789 f.freire.catarino@student.tue.nl

Planning

  • Decide all necessary functions for Maze
  • Week: Activities: People:
    Week 1
    • Install the Ubuntu Software / Ros / Gazebo / QT Edit
    • Start the tutorials for Ros / C++
    • Setup VPN
    Everbody
    Week 2
    • Finish all tutorials
    • Start brainstorming
    • Getting feeling with the robot doing the Simulations
    • Identify the Sensor characteristics
    • Everybody
    • Everybody
    • Everybody
    • Everybody
    Week 3
    • Create architecture for Nodes and Functions
    • Writing specific functions for Corridor Competition
    • Get experience with PICO, first experiment (18/9)
    • Frank & Filipe
    • Rens & Jeroen & Haico
    • Everybody
    Week 4
    • Test the concept code on PICO (23/9)
    • Finalize the code for Pico Competition
    • Corridor Competition on (25/9)
    • Everybody
    • Everybody
    • Everybody
    Week 5 Not yet planned
    Week 6 Not yet planned
    Week 7 Not yet planned

    Progress

    Week 1: September 2 - September 8

    The first week mainly consisted of installing the Ubuntu OS with all the required ROS/Gazebo software. This did not went smoothly as there is no easy available Ubuntu installation for Mac (1 member) and missing one tiny step in the Tutorials could end up with a not working environment.

    It was decided that everyone should do all the tutorials to know how everything works, and that we would work with the software provided by the course material (QT for c++ and fuerte Ros).

    Week 2: September 9 - September 15

    During the second week everyone finished the tutorials for ROS and c++.

    Robot Sensors Researching the given example with the simulation environment shows that the laser data is acquired by scanning in a 270 degree angle with increments of 0.25 degrees. This information is saved in a a vector and can be used to obtain distances for every angle at a certain time.


    Week 3: September 16 - September 22

    Week 4: September 23 - September 29

    Week 5: September 30 - October 6

    Week 6: October 7 - October 13