Mobile Robot Control 2024 R2-D2: Difference between revisions

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=Introduction=
This the wiki of the R2-D2 team for the course Mobile Robot Control of the Q4 in the year 2023-2024. The team is consisted from the following members.


===Group members:===
===Group members:===
{| class="wikitable"
{| class="wikitable"
|+Caption
|+ Caption
!Name!!student ID
!Name!!student ID
|-
|-
Line 9: Line 11:
|Yuhui Li
|Yuhui Li
|1985337
|1985337
|-
|Wenyu Song
|1834665
|-
|Aditya Ade
|1945580
|-
|Isabelle Cecilia
|2011484
|-
|Pavlos Theodosiadis
|2023857
|}
|}
=Week 1 - The art of not crashing=
==Simulation==
'''Pavlos'''
My idea was to use the LiDAR sensor to detect any objects directly on the front of the robot. Thus when the robot would move forward it would detect the distance from the object directly in the front of it and stop before reaching a predefined threshold. In the video the threshold was 0.5 meters. To detect the distance from the object exactly on the front I used the measurement in the middle of the ranges list in a laser scan message. I also created a function which takes as an argument a laser scan message and an angle in degrees and returns the distance measurement of the ray at that angle.
Video displaying the run on the simulation environment:
https://www.youtube.com/watch?v=MXB-z1hzYxE
==Practical Session==
=Week 2 - Local Navigation=
==Simulation==
==Practical Session==

Latest revision as of 15:54, 3 May 2024

Introduction

This the wiki of the R2-D2 team for the course Mobile Robot Control of the Q4 in the year 2023-2024. The team is consisted from the following members.

Group members:

Caption
Name student ID
Yuri Copal 1022432
Yuhui Li 1985337
Wenyu Song 1834665
Aditya Ade 1945580
Isabelle Cecilia 2011484
Pavlos Theodosiadis 2023857

Week 1 - The art of not crashing

Simulation

Pavlos

My idea was to use the LiDAR sensor to detect any objects directly on the front of the robot. Thus when the robot would move forward it would detect the distance from the object directly in the front of it and stop before reaching a predefined threshold. In the video the threshold was 0.5 meters. To detect the distance from the object exactly on the front I used the measurement in the middle of the ranges list in a laser scan message. I also created a function which takes as an argument a laser scan message and an angle in degrees and returns the distance measurement of the ray at that angle.

Video displaying the run on the simulation environment:

https://www.youtube.com/watch?v=MXB-z1hzYxE

Practical Session

Week 2 - Local Navigation

Simulation

Practical Session