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‎README.md‎

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‎projects/ALL_SUBMISSIONS.md‎

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‎projects/Aggressive Maneuver Stabilization for a Minidrone/submissions.md‎

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|1|[Quaternion-Based Attitude Control and State Estimation for Aggressive Minidrone Trajectory Tracking](https://github.com/aero309/Quaternion-based-attitude-control-and-estimation-for-a-minidrone)<br/> This project implements Sliding Mode Control for quaternion-based attitude and altitude stabilization and trajectory tracking of a Parrot Minidrone in Simulink, utilizing Extended Kalman Filters for state estimation to enable aggressive maneuvers. <br><br> **Authors:** Khanh Ky Do, Aloïs Millot, Antoine Carrel <br/> **Affiliation:** EPFL <br> **Submission Date:** 2025-07-30|<img width="400" height="0" style="display:block;line-height:0;border:none;" alt=""><br>[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/aero309/Quaternion-based-attitude-control-and-estimation-for-a-minidrone) <br> [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=aero309/Quaternion-based-attitude-control-and-estimation-for-a-minidrone) <br> [![YouTube Video](https://img.shields.io/badge/Watch%20Video-FF0000?style=flat&logo=youtube&logoColor=white)](https://www.youtube.com/watch?v=z0z447DR1LI) <br><br><br> [![Trend: Autonomous Vehicles](https://img.shields.io/badge/Trend-Autonomous%20Vehicles-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Autonomous%20Vehicles.md) [![Trend: Drones](https://img.shields.io/badge/Trend-Drones-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Drones.md) [![Trend: Robotics](https://img.shields.io/badge/Trend-Robotics-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Robotics.md)|
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|1|[Quaternion-Based Attitude Control and State Estimation for Aggressive Minidrone Trajectory Tracking](https://github.com/aero309/Quaternion-based-attitude-control-and-estimation-for-a-minidrone)<br/> This project implements Sliding Mode Control for quaternion-based attitude and altitude stabilization and trajectory tracking of a Parrot Minidrone in Simulink, utilizing Extended Kalman Filters for state estimation to enable aggressive maneuvers. <br><br> **Authors:** Khanh Ky Do, Aloïs Millot, Antoine Carrel <br/> **Affiliation:** EPFL <br> **Submission Date:** 2025-07-30|<img width="400" height="0" style="display:block;line-height:0;border:none;" alt=""><br>[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/aero309/Quaternion-based-attitude-control-and-estimation-for-a-minidrone) <br> [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=aero309/Quaternion-based-attitude-control-and-estimation-for-a-minidrone) <br> [![YouTube Video](https://img.shields.io/badge/Watch%20Video-FF0000?style=flat&logo=youtube&logoColor=white)](https://www.youtube.com/watch?v=z0z447DR1LI) <br><br><br> [![Trend: Autonomous Vehicles](https://img.shields.io/badge/Trend-Autonomous%20Vehicles-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Autonomous%20Vehicles.md) [![Trend: Drones](https://img.shields.io/badge/Trend-Drones-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Drones.md) [![Trend: Robotics](https://img.shields.io/badge/Trend-Robotics-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Robotics.md)|
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|2|[Nonlinear Geometric Control and Quaternion Estimation for High-Speed Quadrotor Maneuvers](https://github.com/ouafi98/project-230)<br/> This project demonstrates a quaternion-based state estimator and controller for stabilizing aggressive maneuvers on Parrot minidrones, developed using MATLAB/Simulink and targeting hardware deployment. <br><br> **Authors:** Mandela Ouafo <br/> **Affiliation:** University of Strasbourg <br> **Submission Date:** 2022-06-14|<img width="400" height="0" style="display:block;line-height:0;border:none;" alt=""><br>[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/ouafi98/project-230) <br> [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=ouafi98/project-230) <br> [![YouTube Video](https://img.shields.io/badge/Watch%20Video-FF0000?style=flat&logo=youtube&logoColor=white)](https://www.youtube.com/watch?v=S1a9L4clW38) <br><br><br> [![Trend: Autonomous Vehicles](https://img.shields.io/badge/Trend-Autonomous%20Vehicles-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Autonomous%20Vehicles.md) [![Trend: Drones](https://img.shields.io/badge/Trend-Drones-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Drones.md) [![Trend: Robotics](https://img.shields.io/badge/Trend-Robotics-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Robotics.md)|

‎projects/Battery Pack Design Automation/submissions.md‎

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# Submissions for: Battery Pack Design Automation
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|1|[Automated Battery Pack Design and Optimization Workflow](https://github.com/Thruster55/Battery-Pack-Design-Automation-Project-1)<br/> This project develops a MATLAB-based workflow for automated battery pack design, including cell characterization, parameter estimation, module assembly, and multi-objective optimization for electric vehicles. <br><br> **Authors:** Harshit Shah <br/> **Affiliation:** Otto Von Guericke University <br> **Submission Date:** 2026-01-13|<img width="400" height="0" style="display:block;line-height:0;border:none;" alt=""><br>[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/Thruster55/Battery-Pack-Design-Automation-Project-1) <br> [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=Thruster55/Battery-Pack-Design-Automation-Project-1) <br> <br><br><br> [![Trend: Sustainability](https://img.shields.io/badge/Trend-Sustainability-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Sustainability%20and%20Renewable%20Energy.md)|

‎projects/Multi-UAV Path Planning for Urban Air Mobility/submissions.md‎

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|1|[Multi-UAV Path Planning for Urban Air Mobility](https://github.com/HamzaSaddour/Path-planning-for-Multi-UAV-.git)<br/> This project develops an enhanced RRT*-based algorithm for 3D multi-UAV path planning in urban environments, incorporating collision avoidance via pseudo-obstacles and local replanning, validated on real-world urban maps. <br><br> **Authors:** Hamza Saddour <br/> **Affiliation:** Imperial College London <br> **Submission Date:** 2024-10-02|<img width="400" height="0" style="display:block;line-height:0;border:none;" alt=""><br>[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/HamzaSaddour/Path-planning-for-Multi-UAV-.git) <br> [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=HamzaSaddour/Path-planning-for-Multi-UAV-) <br> <br><br><br> [![Trend: Autonomous Vehicles](https://img.shields.io/badge/Trend-Autonomous%20Vehicles-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Autonomous%20Vehicles.md) [![Trend: Drones](https://img.shields.io/badge/Trend-Drones-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Drones.md) [![Trend: Robotics](https://img.shields.io/badge/Trend-Robotics-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Robotics.md)|
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|2|[Urban Multi-UAV Path Planning and Dynamic Task Reallocation](https://github.com/lovesh1711/Multi-UAV-Path-Planning-for-Urban-Air-Mobility)<br/> This project develops Two Step Interplanner algorithms, including one with conflict resolution, for efficient multi-UAV path planning in urban delivery scenarios, further exploring dynamic task reallocation. <br><br> **Authors:** Lovesh Goyal <br/> **Affiliation:** Visvesvaraya National Institute of Technology <br> **Submission Date:** 2024-04-29|<img width="400" height="0" style="display:block;line-height:0;border:none;" alt=""><br>[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/lovesh1711/Multi-UAV-Path-Planning-for-Urban-Air-Mobility) <br> [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=lovesh1711/Multi-UAV-Path-Planning-for-Urban-Air-Mobility) <br> <br><br><br> [![Trend: Autonomous Vehicles](https://img.shields.io/badge/Trend-Autonomous%20Vehicles-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Autonomous%20Vehicles.md) [![Trend: Drones](https://img.shields.io/badge/Trend-Drones-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Drones.md) [![Trend: Robotics](https://img.shields.io/badge/Trend-Robotics-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Robotics.md)|
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|1|[Multi-UAV Urban Air Mobility Path Planning and Avoidance](https://github.com/Hechaoqi-byte/Multi-UAV-Path-Planning-for-Urban-Air-Mobility)<br/> This project develops a comprehensive system for multi-UAV logistics in urban environments, featuring 3D path planning, task allocation, dynamic obstacle avoidance, and sensor fusion for real-time tracking. <br><br> **Authors:** Chaoqi He, Gao Shiqi, Song Hong <br/> **Affiliation:** Shanghai Jiao Tong University <br> **Submission Date:** 2025-12-01|<img width="400" height="0" style="display:block;line-height:0;border:none;" alt=""><br>[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/Hechaoqi-byte/Multi-UAV-Path-Planning-for-Urban-Air-Mobility) <br> [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=Hechaoqi-byte/Multi-UAV-Path-Planning-for-Urban-Air-Mobility) <br> <br><br><br> [![Trend: Autonomous Vehicles](https://img.shields.io/badge/Trend-Autonomous%20Vehicles-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Autonomous%20Vehicles.md) [![Trend: Drones](https://img.shields.io/badge/Trend-Drones-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Drones.md) [![Trend: Robotics](https://img.shields.io/badge/Trend-Robotics-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Robotics.md)|
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|2|[Multi-UAV Path Planning for Urban Air Mobility](https://github.com/HamzaSaddour/Path-planning-for-Multi-UAV-.git)<br/> This project develops an enhanced RRT*-based algorithm for 3D multi-UAV path planning in urban environments, incorporating collision avoidance via pseudo-obstacles and local replanning, validated on real-world urban maps. <br><br> **Authors:** Hamza Saddour <br/> **Affiliation:** Imperial College London <br> **Submission Date:** 2024-10-02|<img width="400" height="0" style="display:block;line-height:0;border:none;" alt=""><br>[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/HamzaSaddour/Path-planning-for-Multi-UAV-.git) <br> [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=HamzaSaddour/Path-planning-for-Multi-UAV-) <br> <br><br><br> [![Trend: Autonomous Vehicles](https://img.shields.io/badge/Trend-Autonomous%20Vehicles-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Autonomous%20Vehicles.md) [![Trend: Drones](https://img.shields.io/badge/Trend-Drones-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Drones.md) [![Trend: Robotics](https://img.shields.io/badge/Trend-Robotics-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Robotics.md)|
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|3|[Urban Multi-UAV Path Planning and Dynamic Task Reallocation](https://github.com/lovesh1711/Multi-UAV-Path-Planning-for-Urban-Air-Mobility)<br/> This project develops Two Step Interplanner algorithms, including one with conflict resolution, for efficient multi-UAV path planning in urban delivery scenarios, further exploring dynamic task reallocation. <br><br> **Authors:** Lovesh Goyal <br/> **Affiliation:** Visvesvaraya National Institute of Technology <br> **Submission Date:** 2024-04-29|<img width="400" height="0" style="display:block;line-height:0;border:none;" alt=""><br>[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/lovesh1711/Multi-UAV-Path-Planning-for-Urban-Air-Mobility) <br> [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=lovesh1711/Multi-UAV-Path-Planning-for-Urban-Air-Mobility) <br> <br><br><br> [![Trend: Autonomous Vehicles](https://img.shields.io/badge/Trend-Autonomous%20Vehicles-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Autonomous%20Vehicles.md) [![Trend: Drones](https://img.shields.io/badge/Trend-Drones-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Drones.md) [![Trend: Robotics](https://img.shields.io/badge/Trend-Robotics-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Robotics.md)|

‎projects/Processor-in-the-Loop Automotive Controller on an Arm Cortex-M7 Fast Model Emulator/submissions.md‎

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# Submissions for: Processor-in-the-Loop Automotive Controller on an Arm Cortex-M7 Fast Model Emulator
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|1|[ABS Controller PIL Verification with Adaptive PID on Arm Cortex-M7 Fast Model](https://github.com/Vipulsree/MATLAB-Simulink-Challenge-PIL_Automotive_Controller.git)<br/> Implements an adaptive PID-based ABS controller with gain-scheduled lookup tables, verified through 28-case MIL/PIL testing on a virtual Arm Cortex-M7 processor achieving zero numerical equivalence error. <br><br> **Authors:** Vipul S, Shridattha M Hebbar, Sathvik Madagi, Riithun S <br/> **Affiliation:** R V College Of Engineering <br> **Submission Date:** 2026-04-30|<img width="400" height="0" style="display:block;line-height:0;border:none;" alt=""><br>[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/Vipulsree/MATLAB-Simulink-Challenge-PIL_Automotive_Controller.git) <br> [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=Vipulsree/MATLAB-Simulink-Challenge-PIL_Automotive_Controller) <br> [![YouTube Video](https://img.shields.io/badge/Watch%20Video-FF0000?style=flat&logo=youtube&logoColor=white)](https://youtu.be/2-E-i5EQIcE) <br><br><br> [![Trend: Autonomous Vehicles](https://img.shields.io/badge/Trend-Autonomous%20Vehicles-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Autonomous%20Vehicles.md)|

‎projects/Satellite Collision Avoidance/submissions.md‎

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|1|[Orbital State Estimation and Collision Risk with Gaussian Sum Filter](https://github.com/JoeWels123/Satellite-Collision-Analysis-using-Gaussian-Mixture-Filters)<br/> This MATLAB toolbox implements a Gaussian Sum Unscented Kalman Filter for orbital state estimation, benchmarked against Monte Carlo simulations, and applied to assess collision probability between space objects. <br><br> **Authors:** Joseph Wells <br/> **Affiliation:** University College London <br> **Submission Date:** 2025-09-19|<img width="400" height="0" style="display:block;line-height:0;border:none;" alt=""><br>[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/JoeWels123/Satellite-Collision-Analysis-using-Gaussian-Mixture-Filters) <br> [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=JoeWels123/Satellite-Collision-Analysis-using-Gaussian-Mixture-Filters) <br> <br><br><br> [![Trend: Autonomous Vehicles](https://img.shields.io/badge/Trend-Autonomous%20Vehicles-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Autonomous%20Vehicles.md)|
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|1|[Automated Satellite Collision Avoidance with Distance-Based Maneuvers](https://github.com/Deepak7781/Satellite-Collision-Avoidance-225/)<br/> This project implements a MATLAB-based solution for satellite collision avoidance in Low Earth Orbit, identifying conjunctions and executing distance-based along-track maneuvers to increase separation from space debris. <br><br> **Authors:** Deepak S <br/> **Affiliation:** Madras Institute of Technology <br> **Submission Date:** 2026-02-06|<img width="400" height="0" style="display:block;line-height:0;border:none;" alt=""><br>[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/Deepak7781/Satellite-Collision-Avoidance-225/) <br> [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=Deepak7781/Satellite-Collision-Avoidance-225) <br> <br><br><br> [![Trend: Autonomous Vehicles](https://img.shields.io/badge/Trend-Autonomous%20Vehicles-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Autonomous%20Vehicles.md)|
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|2|[Orbital State Estimation and Collision Risk with Gaussian Sum Filter](https://github.com/JoeWels123/Satellite-Collision-Analysis-using-Gaussian-Mixture-Filters)<br/> This MATLAB toolbox implements a Gaussian Sum Unscented Kalman Filter for orbital state estimation, benchmarked against Monte Carlo simulations, and applied to assess collision probability between space objects. <br><br> **Authors:** Joseph Wells <br/> **Affiliation:** University College London <br> **Submission Date:** 2025-09-19|<img width="400" height="0" style="display:block;line-height:0;border:none;" alt=""><br>[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/JoeWels123/Satellite-Collision-Analysis-using-Gaussian-Mixture-Filters) <br> [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=JoeWels123/Satellite-Collision-Analysis-using-Gaussian-Mixture-Filters) <br> <br><br><br> [![Trend: Autonomous Vehicles](https://img.shields.io/badge/Trend-Autonomous%20Vehicles-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Autonomous%20Vehicles.md)|

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