Embedded Motion Control 2012 Group 1: Difference between revisions

From Control Systems Technology Group
Jump to navigation Jump to search
No edit summary
No edit summary
Line 79: Line 79:
* Finished DFS algorithm; algorithm works now if there are no loops. http://www.youtube.com/watch?v=KSjsA6BR-Bs&feature=channel&list=UL
* Finished DFS algorithm; algorithm works now if there are no loops. http://www.youtube.com/watch?v=KSjsA6BR-Bs&feature=channel&list=UL
Tasks for Week 7:  
Tasks for Week 7:  
- Debug navigation node; fix issue with no 'corridor' between 'corners'.
* Debug navigation node; fix issue with no 'corridor' between 'corners'.
- Debug algorithm; try to find some errors.
* Debug algorithm; try to find some errors.
- Corridor competition
* Corridor competition
- Test on real robot
* Test on real robot


==Week 7==
==Week 7==

Revision as of 11:19, 14 June 2012

Group Members

Name: Student id: Email:
Rein Appeldoorn 0657407 r.p.w.appeldoorn@student.tue.nl
Jeroen Graafmans 0657171 j.a.j.graafmans@student.tue.nl
Bart Peeters 0748906 b.p.j.j.peeters@student.tue.nl
Ton Peters 0662103 t.m.c.peters@student.tue.nl
Scott van Venrooij 0658912 s.j.p.v.venrooij@student.tue.nl

Tutor: Jos Elfring

Week 1

  • Installed all required software on our computers :)
  • Everybody gained some knowledge about Unix, ROS and C++.

Week 2

Week 3

Optimized map
  • Thought about an efficient algorithm to solve the 'maze'-problem. Depth-First-Search is proposed as a candidate algorithm.
  • Started with arrow recognition using the OpenCV package.
  • Started with map-processing to build up a tree of the maze which can be used by the decision algorithm.
  • Optimized mapping algorithm and did some processing on the map. See Figure "Optimized map"
  • tarted with navigation node for autonomous navigation of the jazz

Tasks for Week 4:

  • Process map
  • Add markers at crossings
  • Define paths between these markers for navigation




Week 4

Corner detection
  • Arrows can be detected by camera with use of the OpenCV package.
  • Robot can detect its position in a corridor with use of its laser data and can drive autonomous.
  • Corner detection; extracted out of the occupancy-grid. See Figure "Corner detection".














Week 5

  • Map-processing is cancelled, since the used package (hector_mapping) creates incorrect maps.
  • Now working on processing the laserdata to let the Jazz drive "autonomously"
  • Writing an algorithm by using depth-first-search, this algorithm obtains the kind of crossing, the position of the Robot and the angle of the Robot and sends the new direction to the Robot

Week 6

  • Did tests with the real Jazz Robot; some issues were find concerning the update-rate; perhaps a new navigation strategy is needed. http://youtu.be/_g9S24xXes4
  • New navigation strategy implemented. Still a couple of bugs that have to be fixed; this is for next week.
  • Created a visualization-class to visualize the node-structure for better perception of the algorithm.
  • Finished DFS algorithm; algorithm works now if there are no loops. http://www.youtube.com/watch?v=KSjsA6BR-Bs&feature=channel&list=UL

Tasks for Week 7:

  • Debug navigation node; fix issue with no 'corridor' between 'corners'.
  • Debug algorithm; try to find some errors.
  • Corridor competition
  • Test on real robot

Week 7

Original maze solved
"Big maze solved
  • Navigation node debugged, fixed issue with no corridor between corners.

Original maze without loops solved: http://www.youtube.com/watch?v=eQblXU57aeU&feature=youtu.be Figure "Original map solved" also shows the how the original given maze looks in Rviz when it is solved the robot.












Big maze solving also possible: http://www.youtube.com/watch?v=HEO7ETBTaDs&feature=youtu.be' The big maze solved can also be seen in Figure "Big maze solved".














Week 8