Update README.md

Author: Tinker-Twins

README.md

@@ -96,8 +96,8 @@ This section describes various turnkey demos for modular as well as end-to-end a
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 | ![](autodrive_turnkey_demos/autodrive_rzr_aeb_mbd/autodrive_rzr_aeb_mbd.gif) | [**autodrive_rzr_aeb_mbd**](autodrive_turnkey_demos/autodrive_rzr_aeb_mbd)<br>- **Vehicle:** RZR Pro R 4 Ultimate<br>- **Sensors:** Camera + IMU + Encoders<br>- **Environment:** Handcrafted Dirt Road in Thick Vegetation<br>- **Task:** Autonomous Emergency Braking (AEB)<br>- **Approach:** Model-Based Design (MBD) using Simulink<br>- **Simulator:** [autodrive_rzr_simulator.zip](https://github.com/AutoDRIVE-Ecosystem/AutoDRIVE-MathWorks/releases/download/v1.0.0/autodrive_rzr_simulator.zip) |
-| ![](autodrive_turnkey_demos/autodrive_rzr_aeb_mbse/autodrive_rzr_aeb_mbse.gif) | [**autodrive_rzr_aeb_mbse**](autodrive_turnkey_demos/autodrive_rzr_aeb_mbse)<br>- **Vehicle:** RZR Pro R 4 Ultimate<br>- **Sensors:** Camera + IMU + Encoders<br>- **Environment:** Handcrafted Dirt Road in Thick Vegetation<br>- **Task:** Autonomous Emergency Braking (AEB)<br>- **Approach:** Model-Based Systems Engineering (MBSE) using System Composer<br>- **Simulator:** [autodrive_rzr_simulator.zip](https://github.com/AutoDRIVE-Ecosystem/AutoDRIVE-MathWorks/releases/download/v1.1.0/autodrive_rzr_simulator.zip)<br>- **Artifacts:** [Research Paper](https://doi.org/10.1016/j.ifacol.2025.12.336), [YouTube Video](https://youtu.be/FsSTWJiiEWg?si=6_EhYzU20gqP7WWY), [MathWorks Handout](https://github.com/AutoDRIVE-Ecosystem/AutoDRIVE-MathWorks/blob/main/media/VIPR-GS%20%2B%20MathWorks%20Autonomous%20Systems%20Case%20Study%201.pdf), [MathWorks Story](https://www.mathworks.com/company/user_stories/scalable-digital-engineering-for-autonomous-vehicle-validation.html) |
-| ![](autodrive_turnkey_demos/autodrive_husky_g2g_mbse/autodrive_husky_g2g_mbse.gif) | [**autodrive_husky_g2g_mbse**](autodrive_turnkey_demos/autodrive_husky_g2g_mbse)<br>- **Vehicle:** Husky A200<br>- **Sensors:** GNSS + IMU<br>- **Environment:** Procedurally generated uneven terrain<br>- **Task:** Autonomous Go-to-Goal (G2G) Navigation<br>- **Approach:** Model-Based Systems Engineering (MBSE) using System Composer<br>- **Simulator:** [autodrive_husky_simulator.zip](https://github.com/AutoDRIVE-Ecosystem/AutoDRIVE-MathWorks/releases/download/v2.0.0/autodrive_husky_simulator.zip)<br>- **Artifacts:** [Research Paper](https://doi.org/10.1115/1.4069966), [YouTube Video](https://youtu.be/isLNbC_9I8Q?si=sQ9ouU3EsF4tS-A1), [MathWorks Handout](https://github.com/AutoDRIVE-Ecosystem/AutoDRIVE-MathWorks/blob/main/media/VIPR-GS%20%2B%20MathWorks%20Autonomous%20Systems%20Case%20Study%202.pdf) |
+| ![](autodrive_turnkey_demos/autodrive_rzr_aeb_mbse/autodrive_rzr_aeb_mbse.gif) | [**autodrive_rzr_aeb_mbse**](autodrive_turnkey_demos/autodrive_rzr_aeb_mbse)<br>- **Vehicle:** RZR Pro R 4 Ultimate<br>- **Sensors:** Camera + IMU + Encoders<br>- **Environment:** Handcrafted Dirt Road in Thick Vegetation<br>- **Task:** Autonomous Emergency Braking (AEB)<br>- **Approach:** Model-Based Systems Engineering (MBSE) using System Composer<br>- **Simulator:** [autodrive_rzr_simulator.zip](https://github.com/AutoDRIVE-Ecosystem/AutoDRIVE-MathWorks/releases/download/v1.1.0/autodrive_rzr_simulator.zip)<br>- **Artifacts:** [Research Paper](https://doi.org/10.1016/j.ifacol.2025.12.336), [YouTube Video](https://youtu.be/FsSTWJiiEWg?si=6_EhYzU20gqP7WWY), [MathWorks Success Slide](https://github.com/AutoDRIVE-Ecosystem/AutoDRIVE-MathWorks/blob/main/media/VIPR-GS%20%2B%20MathWorks%20Autonomous%20Systems%20Case%20Study%201.pdf), [MathWorks Success Story](https://www.mathworks.com/company/user_stories/scalable-digital-engineering-for-autonomous-vehicle-validation.html) |
+| ![](autodrive_turnkey_demos/autodrive_husky_g2g_mbse/autodrive_husky_g2g_mbse.gif) | [**autodrive_husky_g2g_mbse**](autodrive_turnkey_demos/autodrive_husky_g2g_mbse)<br>- **Vehicle:** Husky A200<br>- **Sensors:** GNSS + IMU<br>- **Environment:** Procedurally generated uneven terrain<br>- **Task:** Autonomous Go-to-Goal (G2G) Navigation<br>- **Approach:** Model-Based Systems Engineering (MBSE) using System Composer<br>- **Simulator:** [autodrive_husky_simulator.zip](https://github.com/AutoDRIVE-Ecosystem/AutoDRIVE-MathWorks/releases/download/v2.0.0/autodrive_husky_simulator.zip)<br>- **Artifacts:** [Research Paper](https://doi.org/10.1115/1.4069966), [YouTube Video](https://youtu.be/isLNbC_9I8Q?si=sQ9ouU3EsF4tS-A1), [MathWorks Success Slide](https://github.com/AutoDRIVE-Ecosystem/AutoDRIVE-MathWorks/blob/main/media/VIPR-GS%20%2B%20MathWorks%20Autonomous%20Systems%20Case%20Study%202.pdf) |
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 **Taxonomy & Nomenclature:**