Embedded Motion Control 2012 Group 11: Difference between revisions
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-> Develop an algorithm for arrow detection using Camera in rViz. | -> Develop an algorithm for arrow detection using Camera in rViz. | ||
-> Work on methods to implement odometry data in the system. | -> Work on methods to implement odometry data in the system. | ||
[[File:FLOW 1.jpg]] | [[File:FLOW 1.jpg]] | ||
[[File:FLOW 2.jpg]] | |||
'''Week 5''' | '''Week 5''' | ||
-> A new self aligning algorithm was implemented, and the robot is able to align itself in the simulator, given any initial angle and position inside the maze. | -> A new self aligning algorithm was implemented, and the robot is able to align itself in the simulator, given any initial angle and position inside the maze. | ||
-> Working on publishing the odometry data using tf | -> Working on publishing the odometry data using tf | ||
Revision as of 21:04, 3 June 2012
Group Info
| Group Members | Student nr. | |
| Dhiraj Padmaraj Bhandary | d.p.bhandary@student.tue.nl | 0785808 |
| Christiaan Gootzen | c.f.t.m.gootzen@student.tue.nl | 0655133 |
| Sathish Krishna Ramachandran | s.k.ramachandran@student.tue.nl | 0787784 |
| Sanath Kumar Venkatesan | s.k.venkatesan@student.tue.nl | 0757307 |
| Sander van Zundert | a.w.v.zundert@student.tue.nl | 0650545 |
Tutor
Sjoerd van den Dries - s.v.d.dries@tue.nl
Week 1 and 2:
-> Installed required software,
-> Fixed software issues, 2 members had to reinstall ubuntu 3 times plus some wireless network issues had to be fixed.
Week 3: -> Finished all tutorials -> Working on processing of a 2d map in Jazz simulator and Rviz to make the robot navigate autonomously. We are trying to measure distance in front of the robot in order to take decisions.
Week 4: -> The robot can now autonomously move through a given maze only using the LaserScan data. -> Given a corridor with exits, the robot is able to take the first exit.
Tasks for Week 5: -> Improve algorithm implementation to correct existing flaws -> Develop an algorithm for arrow detection using Camera in rViz. -> Work on methods to implement odometry data in the system.
Week 5 -> A new self aligning algorithm was implemented, and the robot is able to align itself in the simulator, given any initial angle and position inside the maze. -> Working on publishing the odometry data using tf