Embedded Motion Control 2012 Group 11

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(Group Info)
(Group Info)
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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
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'''Week 6'''
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-> 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 20:11, 3 June 2012

Group Info

Group Members Email 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.

File:FLOW 1.jpgFile:FLOW 2.jpg

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.

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