MATLAB 和 Simulink 挑战项目

通过解决关键行业挑战，为工程和科学的进步贡献力量！

你是否正在寻找一个具有实际行业意义和社会影响力的的设计或研究项目创意？

浏览这份挑战项目列表，了解技术趋势，掌握 MATLAB 和 Simulink 的实用技能，并为科学和工程领域作出贡献。此外，你还将获得来自 MathWorks 技术领导的官方认可，以及完成项目后的奖励！

:books: 如果你是 MATLAB 和 Simulink 的新手，或者希望进一步学习，可以探索 面向学生的综合资源库。

:trophy: 通过参与 MATLAB Central 社区定期举办的 竞赛，发现激动人心的机会来检验你的技能并赢取奖品。

如何参与 :point_down:

让你的工作成果公开且易于访问，即可获得证书以及来自 MathWorks 研究负责人的推荐信。请通过项目描述页面上的报名表告知我们你计划完成其中一项项目的意向，我们将为你提供关于该项目及表彰奖励的更多信息。

:pushpin: 请在开始项目之前阅读我们的 生成式 AI 指南。对于未经过验证、被误解或滥用的 AI 生成内容提交的作品，将不予接受。

有关本计划的更多信息以及 如何提交你的解决方案，请访问我们的 维基页面。你还可以找到更多关于 定制竞赛与行业合作 的信息。

如果你是行业人士或高校教师，希望获取更多信息、提供反馈或提名新项目，请通过 此处 联系我们。

项目浏览器 :mag:

使用交互式筛选工具探索所有项目。按技术、应用领域、MATLAB/Simulink 工具等进行搜索和筛选，快速找到符合你兴趣的项目。

👉 打开项目浏览器

按技术趋势划分的项目 :file_cabinet:

• 人工智能
• 自动驾驶汽车
• 大数据
• 计算机视觉
• 计算金融
• 无人机
• 工业 4.0
• 机器人技术
• 可持续发展与可再生能源
• 无线通信

All projects :file_folder:

Updated: February 25, 2026

	Real-Time Acceleration for Medical Image Processing Design a real-time medical imaging pipeline that uses Analog Devices high-speed ADCs, and NVIDIA Holoscan for deployment. Impact: Enable rapid medical image assessment to support faster diagnosis and earlier treatment decisions. Expertise gained: Artificial Intelligence, Embedded AI, Image Processing, Real-time medical imaging Industry partner:
	Federal Open Market Committee Minutes Analysis with Large Language Models Use large language models in MATLAB to extract insights from central bank policy documents. Impact: Harness AI to revolutionize financial text analysis and unlock deeper insights from real-world monetary policy documents. Expertise gained: Artificial Intelligence, Computational Finance, Natural Language Processing, Text Analytics, Neural Networks
	Processor-in-the-Loop Automotive Controller on an Arm Cortex-M7 Fast Model Emulator Verify a Simulink automotive controller by running processor-in-the-loop (PIL) tests on a virtual Arm Cortex-M7 processor. Impact: Accelerate automotive software validation with virtual processor testing. Expertise gained: Autonomous Vehicles, Automotive, Modeling and Simulation, Control Industry partner:
	Adaptive Palletizing with Simulation Optimization Create a flexible robotics palletizing system that adapts to varying box sizes and configurations. Impact: Scale up solutions for automated manufacturing and logistics. Expertise gained: Robotics, Manipulators, Modeling and Simulation, Optimization Industry partner:
	Fault Detection for Electric Motors Using Vibration Analysis Develop a Fault detection system for electric motors from vibration data using Model-Based design. Impact: Enhance motor reliability and reduce downtime through advanced fault detection. Expertise gained: Artificial Intelligence, Big Data, Embedded AI, Machine Learning, Modeling and Simulation, Predictive Maintenance, Health Monitoring, Low-cost Hardware Industry partner:
	Classify RF Signals Using AI Use deep learning to classify wireless signals and perform real-world testing with software defined radios. Impact: Help to mitigate the ever-increasing RF interference problem in the developed world. Expertise gained: Wireless Communication, Artificial Intelligence, Deep Learning, Image Processing, Machine Learning, Neural Networks, Software-defined Radio Industry partner:
	Build a Wireless Communications Link with Software-Defined Radio Gain practical experience in wireless communication by designing inexpensive software-defined radios. Impact: Develop your own expertise in wireless technology and drive this megatrend forward, in industry and society. Expertise gained: Wireless Communication, Low-Cost Hardware, Modeling and Simulation, Signal Processing, Software-Defined Radio Industry partner:
	Battery Fast Charging Optimization Optimize lithium-ion battery charging strategies while preserving longevity and safety. Impact: Improve battery charging performance while preserving safety and longevity. Expertise gained: Sustainability and Renewable Energy, Modeling and Simulation, Optimization, Electrification
	Intelligent Trip Planning for Battery Electric Vehicles Using Real-Time Map Data Simulate electric vehicle trips using real-time map data to evaluate energy-efficient routes and strategies. Impact: Reduce energy use and environmental impact in electric vehicle travel. Expertise gained: Sustainability and Renewable Energy, Automotive, Electrification, Modeling and Simulation, Optimization
	Fluid Flow Simulation Using Physics-Informed Neural Networks Develop a Physics Informed Neural Network (PINN) for fluid flow simulation. Impact: Transform fluid dynamics with neural networks driving impactful innovations across industries. Expertise gained: Artificial Intelligence, Deep Learning, Modeling and Simulation, Neural Networks
	Detection and Visualization of CO2 Concentration Using Hyperspectral Satellite Data Develop a CO2 detection algorithm using hyperspectral images and visualize the results geospatially. Impact: Enable precise CO2 monitoring for effective climate action. Expertise gained: Sustainability and Renewable Energy, Image Processing, Machine Learning, Signal Processing
	Intelligent Energy Management Systems for Smart Grids Design and Implement an Intelligent Energy Management System (IEMS) for Smart Grids to Optimize Energy Distribution and Consumption. Impact: Elevate efficiency and forge a sustainable world through advanced energy management. Expertise gained: Sustainability and Renewable Energy, Electrification, Modeling and Simulation, Machine Learning
	Solar Tracker Control Simulation Design a control system for a multi axis solar tracker. Impact: Maximize solar irradiance to increase renewable energy production. Expertise gained: Sustainability and Renewable Energy, Control, Modeling and Simulation, Solar Panels
	Cone Detection for Formula Student Driverless Competition Develop a cone detection algorithm for Formula Student Driverless competition. Impact: Enable accurate detection for autonomous racing cars. Expertise gained: Autonomous Vehicles, Computer Vision, Deep Learning, Modeling and Simulation
	Multi-UAV Path Planning for Urban Air Mobility Develop a path planning algorithm for multiple drones flying in an urban environment. Impact: Contribute to advancing drone applications in UAM and revolutionizing the logistic industry. Expertise gained: Autonomous Vehicles, Drones, Robotics, Multi-agent System, Optimization, Sensor Fusion and Tracking, UAV, Modeling and Simulation
	Energy Management for a 2-Motor BEV using Model-Predictive Control Develop a Model-Predictive Control algorithm to optimally distribute torque in a 2-motor Battery Electric Vehicle (BEV) powertrain. Impact: Reduce energy consumption while maintaining best motor performance. Expertise gained: Sustainability and Renewable Energy, Automotive, Control, Electrification, Modeling and Simulation
	Deep Image Prior for Inverse Problems in Imaging Use the Deep Image Prior to solve inverse problems in imaging. Impact: Implement the Deep Image Prior to provide high-quality solutions to inverse problems in imaging that are ubiquitous in industry. Expertise gained: Artificial Intelligence, Computer Vision, Deep Learning, Image Processing, Machine Learning, Neural Networks, Optimization, Signal Processing
	Simulink Hearing Aid Develop a hearing aid simulation in Simulink. Impact: Improve hearing aid simulation and create a testbed for new audio processing algorithm prototyping. Expertise gained: Signal Processing, Audio, Modeling and Simulation
	Music Composition with Deep Learning Design and train a deep learning model to compose music. Impact: Generative music models can be used to create new assets on demand. Expertise gained: Artificial Intelligence, Deep Learning, Machine Learning, Neural Networks, Audio
	Carbon Neutrality a CO2 emission model from historical data and create a plan to achieve carbon neutrality in the future. Impact: Set up a strategy for carbon neutrality and consolidate the international collaboration. Expertise gained: Computational Finance, Sustainability and Renewable Energy, Modeling and Simulation, Machine Learning
	Augmented Reality for Architecture Develop an augmented reality system to enhance a photo or video of a 2D architectural floor plan printed on paper with a virtual 3D representation of the structure. Impact: Develop a proof-of-concept augmented reality system to aid in architectural design. Expertise gained: Computer Vision, Image Processing, Sensor Fusion and Tracking
	Top Quark Detection with Deep Learning and Big Data Develop a predictive classifier model able to discriminate jets produced by top quark decays from the background jets Impact: Reduce the interference of background jets and help the discovery of new fundamental physics Expertise gained: Artificial Intelligence, Big Data, Deep Learning, Physics
	Energy-Optimal Trajectory Planning for Multirotor Drones Develop a trajectory planning for multirotor drones that minimizes energy consumption. Impact: Increase mission time of multirotor drones. Expertise gained: Drones, Robotics, Autonomous Vehicles, Electrification, Modeling and Simulation, Optimization, UAV
	Techno-Economic Assessment of Green Hydrogen Production Perform early-stage economic feasibility of an energy project to determine project viability. Impact: Connect economic aspect to technical design. Expertise gained: Sustainability and Renewable Energy, Modeling and Simulation, Electrification
	Reinforcement Learning Based Fault Tolerant Control of a Quadrotor Develop a fault-tolerant controller for a quadcopter using model-based reinforcement learning. Impact: Improve safety of multi-rotor drones. Expertise gained: Drones, Artificial Intelligence, Robotics, Control, Reinforcement Learning, UAV
	Visual - Inertial Odometry for a Minidrone Design and implement a visual/visual-inertial odometry system using onboard camera for a Minidrone. Impact: Advance aerial vehicle control in contracted spaces with unforeseen environment conditions. Expertise gained: Autonomous Vehicles, Computer Vision, Drones, Robotics, Aerospace, Control, Image Processing, Low-cost Hardware, Modeling and Simulation, Signal Processing, State Estimation, UAV
	Sensor Fusion for Autonomous Systems Develop a sensor fusion algorithm for vehicle pose estimation using classical filtering or AI-based techniques. Impact: Enhance navigation accuracy of autonomous vehicles. Expertise gained: Autonomous Vehicles, Sensor Fusion and Tracking, State Estimation
	Human Motion Recognition Using IMUs Use Deep Learning and Inertial Measurement Units (IMU) data to recognize human activities and gestures. Impact: Enable the next generation of wearable electronic devices with motion recognition. Expertise gained: Artificial Intelligence, Deep Learning, Embedded AI, Neural Networks, Signal Processing
	Vibration Detection and Rejection from IMU Data Remove vibration signals from inertial measurement units. Impact: Improve navigation systems by making them robust against vibrations. Expertise gained: Drones, Autonomous Vehicles, Robotics, Modeling and Simulation, Sensor Fusion and Tracking, State Estimation, Signal Processing
	Aggressive Maneuver Stabilization for a Minidrone Design a controller to enable a micro aerial vehicle to stabilize in the scenario of an external aggressive disturbance. Impact: Contribute to advancements in aerial vehicle control in contracted spaces with unforeseen environment conditions. Expertise gained: Autonomous Vehicles, Drones, Robotics, Aerospace, Low-cost Hardware, Modeling and Simulation, State Estimation, UAV, Control
	Coastline Prediction using Existing Climate Change Models Develop an example that predicts and visualizes coastline impact due to rising sea levels. Impact: Assess and plan for the potential impact of climate change. Expertise gained: Sustainability and Renewable Energy, Modeling and Simulation
	Landslide Susceptibility Mapping using Machine Learning Develop a tool to identify and visualize geographical areas susceptible to landslides. Impact: Identify areas that are at risk for landslides to help mitigate devastating impacts on people and infrastructure. Expertise gained: Sustainability and Renewable Energy, Machine Learning
	Satellite Collision Avoidance Model satellites in Low Earth Orbit (LEO) to identify conjunctions and prevent collisions with space debris, while maintaining orbital requirements. Impact: Contribute to the success of satellite mega-constellations and improve the safety of the Low Earth Orbit (LEO) environment. Expertise gained: Autonomous Vehicles, Control, Satellite, Modeling and Simulation
	Sentiment Analysis in Cryptocurrency Trading your own cryptocurrency trading strategies based on sentiment analysis. Impact: Have a foundation on the potential opportunities on Environmental, Social, and Governance (ESG) portfolio analysis. Expertise gained: Artificial Intelligence, Deep Learning, Machine Learning, Text Analytics
	Snake-like Robot Modeling and Navigation Model and control an autonomous snake-like robot to navigate an unknown environment. Impact: Advance robotics design for hazardous environments inspection and operation in constricted spaces. Expertise gained: Robotics, Manipulators, Modeling and Simulation
	Traffic Light Negotiation and Perception-Based Detection Detect traffic lights and perform traffic light negotiation at an intersection in Unreal environment. Impact: Contribute to the advancement of autonomous vehicles traffic coordination in intersections through simulation. Expertise gained: Autonomous Vehicles, Computer Vision, Automotive, Control, Deep Learning, Image Processing, Modeling and Simulation, Sensor Fusion and Tracking
	Traffic Data Analysis for Modeling and Prediction of Traffic Scenarios Analyze real-world traffic data to understand, model, and predict human driving trajectories. Impact: Contribute to autonomous driving technologies and intelligent transportation research. Expertise gained: Big Data, Autonomous Vehicles, Support Vector Machines, Machine Learning, Deep Learning, Automotive
	Classify Object Behavior to Enhance the Safety of Autonomous Vehicles Automatically classify behavior of tracked objects to enhance the safety of autonomous systems. Impact: Make autonomous vehicles safer by classifying behaviors of objects around them. Expertise gained: Artificial Intelligence, Autonomous Vehicles, Robotics, Drones, Deep Learning, Explainable AI, Machine Learning, Mobile Robots, Neural Networks, Reinforcement Learning, Sensor Fusion and Tracking, UAV, UGV, Automotive
	Testing Realtime Robustness of ROS in Autonomous Driving Develop a realtime collision avoidance system using ROS2 that will execute a safe vehicle response. Impact: Contribute to improving access and safety of transportation through robust automated driving systems. Expertise gained: Autonomous Vehicles, Robotics, Automotive, Image Processing, Modeling and Simulation, Sensor Fusion and Tracking, Low-Cost Hardware
	Smart Watering System with Internet of Things Develop a smart plant water system using Internet of Things (IoT) and low-cost hardware. Impact: Minimize the negative effects of the overuse of water in farming and preserve water resources. Expertise gained: Sustainability and Renewable Energy, Artificial Intelligence, IoT, Low-Cost Hardware, Deep Learning, Cloud Computing
	Machine Learning for Motor Control Enhance the performance and product quality required to develop a motor control application. Impact: Contribute to the global transition to smart manufacturing and electrification. Expertise gained: Artificial Intelligence, Control, Machine Learning, Reinforcement Learning, Automotive
	Flight Controller Design and Hardware Deployment Build a mini drone and use the PX4 Hardware Support package to design the flight controller using Simulink. Impact: Expedite UAV design and assembly with Model-Based Design. Expertise gained: Drones, Autonomous Vehicles, Control, Low-cost Hardware, UAV
	Portable Charging System for Electric Vehicles Design a portable charger for Electric Vehicles. Impact: Help make electric vehicles more reliable for general use. Expertise gained: Sustainability and Renewable Energy, Control, Electrification, Modeling and Simulation
	Digital Twin and Predictive Maintenance of Pneumatic Systems Predict faults in pneumatic systems using simulation and AI/machine learning. Impact: Improve efficiency and reliability of industrial processes. Expertise gained: Artificial Intelligence, Industry 4.0, Cyber-Physical Systems, Digital Twins, Embedded AI, Health Monitoring, IoT, Machine Learning, Modeling and Simulation
	Face Detection and Human Tracking Robot Design and implement a real time autonomous human tracking robot using low-cost hardware. Impact: Leverage mobile technology and deep learning to advance human detection algorithms for impacting human safety and security. Expertise gained: Artificial Intelligence, Computer Vision, Robotics, Deep Learning, Embedded AI, Human-Robot Interaction, Mobile Robots, Modeling and Simulation, Machine Learning, Low-cost Hardware, Image Processing, Control
	Robust Visual SLAM Using MATLAB Mobile Sensor Streaming Perform robust visual SLAM using MATLAB Mobile sensor streaming. Impact: Enable visual SLAM from streaming sensors and extend the state-of-art in real-time visual SLAM algorithms. Expertise gained: Autonomous Vehicles, Computer Vision, Drones, Robotics, Automotive, AUV, Mobile Robots, Manipulators, Humanoid, UAV, UGV
	Warehouse Robotics Simulation Simulate multirobot interactions for efficient algorithm design and warehouse operations. Impact: Advance the automation of warehouse applications and reduce associated time and energy consumption. Expertise gained: Autonomous Vehicles, Robotics, Human-Robot Interaction, Humanoid, Mobile Robots
	Synthetic Aperture Radar (SAR) Simulator Develop a lightweight Synthetic Aperture Radar (SAR) raw data simulator. Impact: Accelerate design of SAR imaging systems and reduce time and cost for their development for aerial and terrestrial applications Expertise gained: Autonomous Vehicles, Automotive, AUV, Image Processing, Signal Processing, Radar Processing
	Change Detection in Hyperspectral Imagery Develop an efficient method for detecting small changes on Earth surface using hyperspectral images. Impact: Revolutionize the management of natural resources, monitoring, and preventing of disasters, going beyond what is visible to the naked eye. Expertise gained: Computer Vision, Image Processing, Deep Learning
	Autonomous Navigation for Vehicles in Rough Terrain Design and implement a motion planning algorithm for off-road vehicles on rough terrain. Impact: Expand the frontiers of off-road exploration and navigation using mobile robots for precision agriculture, firefighting, search and rescue, and planetary exploration. Expertise gained: Autonomous Vehicles, Computer Vision, Robotics, Image Processing, Mobile Robots, SLAM, UGV, Optimization
	Path Planning for Autonomous Race Cars Develop an algorithm to compute an optimal path for racing tracks. Impact: Push racing car competitions into fully autonomous mode Expertise gained: Autonomous Vehicles, Automotive, Optimization, Modeling and Simulation
	Disturbance Rejection Control for PMSM Motors Implement Active Disturbance Rejection Control (ADRC) algorithm for closed-loop speed control system for a Permanent Magnet Synchronous Motors (PMSM). Impact: Improve the customer experience with advanced control strategies to handle the sudden changes in the load with better dynamic control performance. Expertise gained: Artificial Intelligence, Electrification, Control, Modeling and Simulation, Reinforcement Learning
	Optimizing Antenna Performance in an Indoor Propagation Environment Design an antenna to optimize transmission and reception in indoor environment. Impact: Maximize indoor radio signal coverage and reduce energy consumption of signal booster devices. Expertise gained: Wireless Communication, Optimization, Smart Antennas
	Optimization of Large Antenna Arrays for Astronomical Applications Design a large antenna array and optimize its multiple design variables to achieve desired transmission/reception characteristics. Impact: Advance long distance communication capabilities for astronomical applications Expertise gained: Wireless Communication, Smart Antennas, Optimization
	Green Hydrogen Production Develop a model of a reversible fuel-cell integrated into a renewable-energy microgrid structure. Impact: Contribute to the global transition to zero-emission energy sources through the production of hydrogen from clean sources. Expertise gained: Sustainability and Renewable Energy, Electrification, Digital Twins, Modeling and Simulation
	Automatically Segment and Label Objects in Video Implement algorithms to automatically label data for deep learning model training. Impact: Accelerate the development of robust AI algorithms for self-driving vehicles. Expertise gained: Artificial Intelligence, Computer Vision, Deep Learning, Machine Learning
	Behavioral Modelling of Phase-Locked Loop using Deep Learning Techniques Leverage a deep learning approach to extract behavioral models of mixed-signal systems from measurement data and circuit simulation. Impact: Accelerate mixed-signal design and analysis thereby reducing Time-To-Market for semiconductor companies. Expertise gained: Artificial Intelligence, Deep Learning, Machine Learning, Modeling and Simulation, Neural Networks, RF and Mixed Signal, Optimization, Signal Processing
	Electrification of Household Heating Build and evaluate an electrical household heating system to help minimize human environmental impact and halt climate change. Impact: Contribute to the global transition to zero-emission energy sources by electrification of household heating. Expertise gained: Sustainability and Renewable Energy, Digital Twins, Electrification, Modeling and Simulation
	Electrification of Aircraft Evaluate electric aircraft energy requirements, power distribution options, and other electrical technologies. Impact: Contribute to the global transition to zero-emission energy sources by electrification of flight. Expertise gained: Sustainability and Renewable Energy, Digital Twins, Electrification, Modeling and Simulation, Zero-fuel Aircraft
	Signal Integrity Channel Feature Extraction for Deep Learning Develop a deep learning approach for signal integrity applications. Impact: Accelerate signal integrity design and analysis to enable society with more robust and connected internet communications. Expertise gained: Artificial Intelligence, Deep Learning, Machine Learning, Modeling and Simulation, Neural Networks, RF and Mixed Signal
	Wind Turbine Predictive Maintenance Using Machine Learning Improve the reliability of wind turbines by using machine learning to inform a predictive maintenance model. Impact: Contribute to providing the world with reliable green energy. Expertise gained: Industry 4.0, Sustainability and Renewable Energy, Machine Learning, Electrification, Modeling and Simulation, Predictive Maintenance, Wind Turbines
	Optimal Data Center Cooling Improve performance, stability, and cost effectiveness of data centers by designing a cooling algorithm that keeps the system running as efficiently as possible. Impact: Contribute to the performance, reliability, and efficiency of data centers worldwide. Expertise gained: Big Data, Sustainability and Renewable Energy, Cloud Computing, Control, Deep Learning, Modeling and Simulation, Parallel Computing, Predictive Maintenance
	Control, Modeling, Design, and Simulation of Modern HVAC Systems Model a modern HVAC system and design a controller to improve heating, cooling, ventilation, air quality, pressure, humidity, and energy efficiency. Impact: Contribute to the design and control of modern homes and buildings to preserve energy and healthy living environments. Expertise gained: Sustainability and Renewable Energy, Modeling and Simulation, Electrification, Control
	Predictive Electric Vehicle Cooling Improve range, performance, and battery life by designing a cooling algorithm that keep EV battery packs cool when they need it most. Impact: Contribute to the electrification of transport worldwide. Increase the range, performance, and battery life of EVs. Expertise gained: Autonomous Vehicles, Sustainability and Renewable Energy, Automotive, Control, Electrification, Modeling and Simulation, Optimization
	Speech Background Noise Suppression with Deep Learning Develop a deep learning neural network for audio background noise suppression. Impact: Advance hearing aid technology through research in speech enhancement and noise suppression and improve the quality of life of persons with a hearing impairment. Expertise gained: Artificial Intelligence, Deep Learning, Neural Networks, Signal Processing
	Improve the Accuracy of Satellite Navigation Systems Improve the accuracy of satellite navigation systems by using non-binary LDPC codes. Impact: Accelerate the development of modern satellite navigation receivers. Expertise gained: Wireless Communication, GNSS
	Monitoring and Control of Bioreactor for Pharmaceutical Production Monitor and control an industrial scale bioreactor process for pharmaceutical production. Impact: Improve quality and consistency of pharmaceutical products and contribute to transitioning the pharmaceutical sector to Industry 4.0. Expertise gained: Big Data, Industry 4.0, Control, IoT, Modeling and Simulation, Optimization, Machine Learning
	Deep Learning for UAV Infrastructure Inspection Automate the process of infrastructure inspection using \ aerial vehicles and deep learning. Impact: Enhance safety and speed of infrastructure inspection across a wide range of industries. Expertise gained: Computer Vision, Drones, Artificial Intelligence, Robotics, UAV, SLAM, Deep Learning
	3D Virtual Test Track for Autonomous Driving Design a 3D virtual environment to test the diverse conditions needed to develop an autonomous vehicle. Impact: Contribute to autonomous vehicle development by creating virtual test scenes that can be used with many simulators across multiple vehicle development programs. Expertise gained: Autonomous Vehicles, Automotive, Modeling and Simulation
	Simulation-Based Design of Humanoid Robots Develop and use models of humanoid robots to increase understanding of how best to control them and direct them to do useful tasks. Impact: Accelerate the deployment of humanoid robots to real-world tasks including in healthcare, construction, and manufacturing. Expertise gained: Artificial Intelligence, Robotics, Control, Cyber-Physical Systems, Deep Learning, Humanoid, Human-Robot Interaction, Machine Learning, Mobile Robots, Modeling and Simulation, Optimization, Reinforcement Learning
	Intelligent Fan Air Cooling System Design an intelligent fan cooling system to moderate temperatures in a building to eliminate or reduce the need for air conditioning systems. Impact: Contribute to energy and carbon footprint reduction. Expertise gained: Sustainability and Renewable Energy, Control, Modeling and Simulation, Optimization
	Signal Coverage Maps Using Measurements and Machine Learning Reduce the cost of Wireless Communication and IoT network deployment by generating coverage maps from limited measurements. Impact: Contribute to the evolution and deployment of new wireless communications systems. Expertise gained: Artificial Intelligence, Wireless Communication, Machine Learning
	Applying Machine Learning for the Development of Physical Sensor Models in Game Engine Environment Realistic synthetic sensor data will soon eliminate the need of collecting tons of real data for machine learning based perception algorithms. Accelerate this transition by creating a real-time camera distortion model. Impact: Reduce development efforts of autonomous vehicles and robots. Expertise gained: Artificial Intelligence, Autonomous Vehicles, Computer Vision, Deep Learning, Machine Learning, Modeling and Simulation, Neural Networks
	Selection of Mechanical Actuators Using Simulation-Based Analysis Help accelerate the design and development of autonomous systems by providing a framework for mechanical actuators analysis and selection. Impact: Help evaluate and select actuation systems across multiple industries (robotic, automotive, manufacturing, aerospace) and help designers come up with novel actuation solutions. Expertise gained: Drones, Robotics, Control, Cyber-physical Systems, Electrification, Humanoid, Manipulators, Modeling and Simulation
	Battery Pack Design Automation Reduce the effort required to properly develop a battery pack optimized for an automotive drive cycle. Impact: Contribute to the global transition to zero-emission energy source. Expertise gained: Sustainability and Renewable Energy, Control, Electrification, Optimization, Parallel Computing
	Rotor-Flying Manipulator Simulation Rotor-flying manipulation will change the future of aerial transportation and manipulation in construction and hazardous environments. Take robotics manipulation to the next level with an autonomous UAV. Impact: Transform the field of robot manipulation. Expertise gained: Drones, Robotics, Manipulators, Modeling and Simulation, UAV
	MIMO Engine Airpath Control Internal combustion engines will continue to be used in the automotive marketplace well into the future. Build a MIMO airflow control to improve engine performances, fuel economy, and emissions, and start your career in the automotive industry! Impact: Improve environmental friendliness of engine control by tier 1 automotive supplier. Expertise gained: Autonomous Vehicles, Automotive, Control, Modeling and Simulation
	Voice Controlled Robot Smart devices and robots have become part of our everyday life and human-robot interaction plays a crucial role in this rapidly expanding market. Talking to a machine is going to complete change the way we work with robots. Impact: Open up the opportunities to create robots that can be an intuitive part of our world. Expertise gained: Artificial Intelligence, Computer Vision, Robotics, Signal Processing, Natural Language Processing, Mobile Robots, Human-Robot Interaction, Low-Cost Hardware
	Quadruped Robot with a Manipulator Legged robots with manipulators will be the ideal platforms to traverse rough terrains and interact with the environment. Are you ready to tackle the challenge of operating robots outdoor? Impact: Contribute to state-of-the-art technologies for exploration and search and rescue transformation. Expertise gained: Robotics, Control, Image Processing, Manipulators, Mobile Robots, Modeling and Simulation
	Underwater Drone Hide and Seek After robots conquered ground, sky and space, they are going deep sea next. Explore the frontier of autonomous underwater vehicles by doing a project on robot collaboration and competition underwater. Impact: Advance underwater exploration and AUVs collaboration for the future of ocean engineering. Expertise gained: Artificial Intelligence, Robotics, AUV, Embedded AI, Machine Learning, Reinforcement Learning, Sensor Fusion and Tracking, SLAM
	Autonomous Vehicle Localization Using Onboard Sensors and HD Geolocated Maps Revolutionize the current transportation system by improving autonomous vehicles localization for level 5 automation. Impact: Contribute to the change of automobile industry, and transportation system. Expertise gained: Computer Vision, Robotics, Autonomous Vehicles, SLAM, State Estimation, Sensor Fusion and Tracking

MATLAB 与 Simulink 挑战项目快速上手指南

本指南旨在帮助中国开发者快速了解并参与 MathWorks 官方发起的“卓越创新”挑战项目。通过解决真实的行业难题，提升工程技能并获得官方认证。

环境准备

在开始之前，请确保满足以下系统和软件要求：

• 操作系统：Windows, macOS 或 Linux (主流发行版)。
• 核心软件：已安装 MATLAB 和 Simulink。
  • 建议版本：推荐使用最新稳定版（R2023b 或更高），以支持大语言模型、嵌入式 AI 等新特性。
  • 获取方式：高校师生可通过学校授权免费使用；个人用户可申请试用版。
• 必要工具箱：根据所选项目不同，可能需要安装特定工具箱（如 Deep Learning Toolbox, Statistics and Machine Learning Toolbox, Embedded Coder 等）。项目详情页会列出具体需求。
• GitHub 账号：用于浏览项目代码、提交成果及参与社区互动。
• 网络环境：由于项目资源托管于 GitHub 和 MathWorks 官网，建议确保网络连接通畅。

安装与注册步骤

本项目并非传统的命令行工具库，而是一个项目集合平台。参与流程如下：

1. 浏览与选择项目

访问官方项目浏览器，利用筛选功能查找感兴趣的技术领域（如人工智能、自动驾驶、机器人等）：

• 项目探索器地址: https://mathworks.github.io/MATLAB-Simulink-Challenge-Project-Hub/table

2. 阅读项目详情

点击具体项目标题进入详情页（位于 GitHub 仓库的 projects 文件夹下），仔细阅读：

• 挑战目标：需要解决的具体工程问题。
• 预期影响：项目的实际应用价值。
• 所需技能：将用到的 MATLAB/Simulink 功能模块。
• 行业合作伙伴：部分项目由 Analog Devices, Arm 等企业联合发布。

3. 注册参与 (Sign Up)

确定项目后，必须先在官方表单中登记意向，以便获得指导和最终认证：

• 在项目页面点击 "Register" (注册) 按钮。
• 填写 MathWorks 提供的登记表单（需使用真实邮箱）。
• 注意：未注册直接提交的方案可能无法获得官方证书或奖励。

4. 获取起始代码 (可选)

部分项目会在 GitHub 仓库中提供初始代码框架或数据集。你可以克隆整个仓库查看：

git clone https://github.com/mathworks/MATLAB-Simulink-Challenge-Project-Hub.git

进入对应项目文件夹查看具体的 README.md 获取数据链接和初始脚本。

基本使用与工作流

参与挑战的核心是在 MATLAB/Simulink 环境中进行开发。以下是标准工作流示例：

第一步：启动 MATLAB 并加载数据

打开 MATLAB，根据项目指引加载数据或初始化模型。

% 示例：加载项目提供的数据集 (具体变量名参考项目说明)
load('project_dataset.mat');

% 预览数据
plot(sensor_data);
title('Sensor Data Overview');

第二步：开发与仿真

使用 Simulink 搭建模型或使用 MATLAB 编写算法。

• 对于建模项目：输入 simulink 打开库浏览器，构建控制系统或信号处理链路。
• 对于 AI 项目：使用 Deep Learning Toolbox 定义网络并训练。

% 示例：简单的模型训练伪代码
net = trainNetwork(trainingData, layers, options);

第三步：验证与测试

运行处理器在环 (PIL) 测试或仿真验证，确保结果符合项目要求的性能指标。

% 运行仿真
simOut = sim('my_model.slx');

% 分析结果
analyzeResults(simOut);

第四步：提交成果

完成开发后，整理代码、模型文件及说明文档（包含你的创新点和个人贡献说明）：

1. 回到项目详情页。
2. 点击 "Submit" (提交) 按钮。
3. 上传文件或提供 GitHub 仓库链接。
4. 等待 MathWorks 专家团队的评审与反馈。

重要提示：在使用生成式 AI 辅助编程时，请务必阅读官方的 Generative AI Guidelines。提交未经核实、误解或滥用 AI 生成的作品将不被接受。你需要清晰标注哪些部分是由你独立完成，哪些是借助 AI 优化的。