Embedded Motion Control 2012 Group 11: Difference between revisions
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-> 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 | ||
'''Week 6''' | |||
-> The algorithm was made more robust depending on less varying parameters. More complicated mazes were designed for later testing of the maze solving algorithm. The backbone structure of the maze solving algorithm was designed and partially implemented. The allignment and exit strategy were tested on the robot. | |||
Revision as of 21:11, 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
Week 6 -> The algorithm was made more robust depending on less varying parameters. More complicated mazes were designed for later testing of the maze solving algorithm. The backbone structure of the maze solving algorithm was designed and partially implemented. The allignment and exit strategy were tested on the robot.