Update front facing videos (#449)

### Proposed changes

Precisely what the title says. This patch updates both the repository
README and the documentation index page to show a slightly more enticing
video of Beluga in action.

#### Type of change

- [ ] 🐛 Bugfix (change which fixes an issue)
- [ ] 🚀 Feature (change which adds functionality)
- [x] 📚 Documentation (change which fixes or extends documentation)

### Checklist

- [ ] Lint and unit tests (if any) pass locally with my changes
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [x] I have added necessary documentation (if appropriate)
- [x] All commits have been signed for
[DCO](https://developercertificate.org/)

---------

Signed-off-by: Michel Hidalgo <[email protected]>

README.md

@@ -23,6 +23,10 @@ Beluga is an extensible C++17 library with a ground-up implementation of the Mon
 - Emphasis on the prevention of regressions and facilitation of code improvements through test coverage.
 - Semi-automated benchmarks that can be used to validate different configurations.
 
+https://github.com/user-attachments/assets/59bca7ea-fe78-4460-b058-96a5c75d09ec
+
+<p align="center"><i><b>Beluga AMCL</b> running on a <b>Turtlebot 2</b> robot (Raspberry Pi 4B)</i></p>
+
 https://github.com/Ekumen-OS/beluga/assets/33042669/98bda0ee-a633-4e35-8743-72a9ab30b494
 
 <p align="center"><i><b>Beluga AMCL</b> running on an <b>Andino</b> robot (Raspberry Pi 4B), go to <a href="https://github.com/Ekumen-OS/andino">Ekumen-OS/andino</a> for more details!</i></p>

docs/index.md

@@ -110,7 +110,13 @@ about/contact
 
 Beluga is an open source toolkit for Monte Carlo Localization (MCL), with a strong focus on code quality and performance.
 
-:::{figure} ./_images/beluga_andino.gif
+:::{figure} ./_images/beluga_turtlebot2_demo.gif
+:alt: Short video of a Turtlebot 2 running Beluga.
+
+Beluga AMCL running on an Turtlebot 2 robot (Raspberry Pi 4B).
+:::
+
+:::{figure} ./_images/beluga_andino_demo.gif
 :alt: Short video of Andino running Beluga.
 
 Beluga AMCL running on an [Andino](https://github.com/Ekumen-OS/andino) robot (Raspberry Pi 4B).