Mobile Robot Control 2023 Group 7: Difference between revisions
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*Output for: io.speak("test") [Pg. 14] | *Output for: io.speak("test") [Pg. 14] | ||
*Odometry data consensus | *Odometry data consensus | ||
==Exercise-1: The art of not crashing [dont_crash.cpp]== | ==Exercise-1: The art of not crashing [dont_crash.cpp]== | ||
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Test: https://tuenl-my.sharepoint.com/:v:/r/personal/d_bashkaran_latha_student_tue_nl/Documents/MRC/Exercise_1_Dont_crash/dont_crash.MOV?csf=1&web=1&e=lCJOCU | Test: https://tuenl-my.sharepoint.com/:v:/r/personal/d_bashkaran_latha_student_tue_nl/Documents/MRC/Exercise_1_Dont_crash/dont_crash.MOV?csf=1&web=1&e=lCJOCU | ||
==Assignment 1: A-star (global path planning)== | |||
==Assignment 2: Local path planning== | |||
A local path planning algorithm was implemented using the open space approach and combination of DWA. However, the DWA was only partially implemented and needs much more improvement. | |||
The tests were simulated first on the simulator and after successful results they were tested on the real robot - coco. | |||
The speed parameters had to be corrected to ensure the safety of the robot. | |||
Axes correction had to be implemented. | |||
Trials for different test cases can be found here: https://tuenl-my.sharepoint.com/:f:/g/personal/d_bashkaran_latha_student_tue_nl/EgAvwqIqPRlHjYv-45-aqrkBj4EwR_3elw1qFfQwavSrtw?e=qaT1Sb | |||
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Revision as of 23:11, 17 May 2023
Group members:
| Name | student ID |
|---|---|
| Ram Balaji Ramachandran | 1896067 |
| Nisha Joy | 1810502 |
| Dharshan Bashkaran Latha | 1868950 |
Logs
- Output for: io.speak("test") [Pg. 14]
- Odometry data consensus
Exercise-1: The art of not crashing [dont_crash.cpp]
A code that keeps the robot moving forward until an object comes in front of it was created and the results were verified on the simulation platform.
The code was then taken to testing on 4th of May 2023, and the testing was performed on the BOBO robot.
There were some hiccups in compiling and running the code. It was all cleared and the test outcome was succcesful! The proximity adopted was 20 cm to have a closer cut-off.
Assignment 1: A-star (global path planning)
Assignment 2: Local path planning
A local path planning algorithm was implemented using the open space approach and combination of DWA. However, the DWA was only partially implemented and needs much more improvement.
The tests were simulated first on the simulator and after successful results they were tested on the real robot - coco.
The speed parameters had to be corrected to ensure the safety of the robot.
Axes correction had to be implemented.
Trials for different test cases can be found here: https://tuenl-my.sharepoint.com/:f:/g/personal/d_bashkaran_latha_student_tue_nl/EgAvwqIqPRlHjYv-45-aqrkBj4EwR_3elw1qFfQwavSrtw?e=qaT1Sb