Global Competition Winners Archive
Recent Winners
Aerospace
KLE Technological University
2nd Runner up: SAEINDIA AeroTHON 2024
The team developed a PID Controller and optimized values for the motors of drone through extensive testing. Using MATLAB and Simulink models, we fine-tuned these values to achieve enhanced stability and performance in Roll, Pitch, and Yaw control. By iteratively adjusting the proportional, integral, and derivative parameters, we ensured smoother dynamic response and greater precision.
Programming and Math
King Mongkut's Institute of Technology Ladkrabang
1st Place – Granted Her Royal Highness Princess Maha Chakri Sirindhorn's Trophy: TESA Top Gun Rally 2024
The Resonance team used MATLAB for advanced signal processing, including FFT analysis, and machine learning to train and implement a Random Forest Classifier for fault detection. Simulink facilitated the real-time modeling and integration of algorithms into Raspberry Pi for efficient edge computation, ensuring accuracy and rapid response in detecting machine anomalies.
Automotive
South China University of Technology
3rd Place of FSAC, 1st Place of MATLAB/Simulink Modeling and Simulation Award: Formula Student China 2024
The team uses MATLAB and Simulink to develop vehicle dynamics simulations and control systems for dual-motor and four-motor models to assess their effectiveness. They have implemented a Traction Control System (TCS) algorithm with a PID controller to optimally distribute torque and maintain slip rates. Additionally, the team has created efficient algorithms for Anti-lock Braking System (ABS), Acceleration Slip Regulation (ASR), Kinetic Energy Recovery, and Power Limitation. MATLAB's advanced data processing, modeling, and simulation capabilities enable in-depth analysis of racing data, helping to identify issues and suggest improvements.
KLE Technological University
2nd Runner up: SAEINDIA AeroTHON 2024
The team developed a PID Controller and optimized values for the motors of drone through extensive testing. Using MATLAB and Simulink models, we fine-tuned these values to achieve enhanced stability and performance in Roll, Pitch, and Yaw control. By iteratively adjusting the proportional, integral, and derivative parameters, we ensured smoother dynamic response and greater precision.
Embry-Riddle Aeronautical University – Daytona Beach
1st place: AIAA Design, Build, Fly 2024
The ERAU Daytona Beach DBF team secured 1st positions globally in the AIAA Design, Build, Fly Competition 2024.The team utilized MATLAB to determine preliminary aircraft sizing and to optimize mission scoring, allowing for an early and accurate look at the performance of the completed aircraft.
KLE Technological University
Best in Autonomous Flight: SAEINDIA Aerothon 2023
Team AeroKLE adeptly utilized MATLAB and Simulink for UAV simulations, video calibration, and precise aerial data annotation at SAEINDIA AeroTHON 2023. A Fuzzy PID controller, integrated for optimal control, underscored team AeroKLE’s excellence in autonomous aeronautical engineering.
Università degli Studi di Napoli Federico II
1st place: Airbus Sloshing Rocket Workshop 2023
The AIRSLOTHS team from Naples used MATLAB to design the aircraft model and simulate its flight. The code managed both inertial and aerodynamical properties, giving the team the flexibility to adjust the parameters to maximize the range and altitude reached by the model.
Embry-Riddle Aeronautical University
1st place: USA, 3rd place: globally - AIAA Design, Build, Fly 2023
The ERAU Daytona DBF team placed 1st nationally in USA and 3rd overall at the annual AIAA Design, Build, Fly competition. The team used MATLAB to calculate aircraft performance and to assist with the preliminary design process.
University of Manitoba
1st place overall: Mission Performance, 2nd place: Design Report and 2nd place: Design Presentation - SAE Aero Design East 2023
The team developed a custom MATLAB script to size a stable aircraft, accurately model the take-off distance and generate an accurate payload prediction curve to maximize our Payload Prediction Bonus for our flights at the competition.
DJ Sanghvi College of Engineering, Mumbai, India
3rd place overall: Micro Class, 3rd place overall: Regular Class - SAE Aero Design East 2022
We developed our own MATLAB script implementing the Tornado VLM Solver and used genetic algorithms and regression modelling. This helped us to perform parametric analyses and run various simulations to improve and optimize our design.
South China University of Technology
3rd Place of FSAC, 1st Place of MATLAB/Simulink Modeling and Simulation Award: Formula Student China 2024
The team uses MATLAB and Simulink to develop vehicle dynamics simulations and control systems for dual-motor and four-motor models to assess their effectiveness. They have implemented a Traction Control System (TCS) algorithm with a PID controller to optimally distribute torque and maintain slip rates. Additionally, the team has created efficient algorithms for Anti-lock Braking System (ABS), Acceleration Slip Regulation (ASR), Kinetic Energy Recovery, and Power Limitation. MATLAB's advanced data processing, modeling, and simulation capabilities enable in-depth analysis of racing data, helping to identify issues and suggest improvements.
Rochester Institute of Technology
1st place: FSAE Michigan EV 2024
RIT Racing came in 1st place at the 2024 EV FSAE competition in Michigan. MATLAB's data processing capabilities enabled the team to analyze results from lap time simulations to set key vehicle targets for optimal performance. Furthermore, a custom data-driven powertrain model in MATLAB allowed us to confidently size our accumulator to last for a full endurance.
University of California, Berkeley
3rd place overall, 2nd place in AutoCross, 2nd place in Endurance: Formula SAE Michigan Combustion 2024
The team used MATLAB to develop their in-house LapSim script which determined the optimum final drive ratio. MATLAB was also used to validate shifting tank size based on pressure applied and number of shifts required, model the torsional stiffness and vehicle dynamics relationship, and further analyze and interpret the physical test results. Other applications of MATLAB to improve their car engineering included center of pressure calculations, load calculations, and vector analysis.
Changzhou Institute of Technology
Application Prize: China ICV Algorithms Challenge (CIAC) 2023
The "Power of Wings" team from Changzhou Institute of Technology used MATLAB and Simulink to design an algorithm, which can identify a field with potential risk caused by obstacle vehicles in the complex traffic flow scenarios provided by PanoSim. They also employed a dynamic programming algorithm to facilitate precise navigation and obstacle avoidance strategies under the complex traffic conditions. Additionally, their enhancements to the Frenet coordinate system substantially improved the vehicles' responsiveness and adaptability when dealing with obstacles, allowing for more agile and accurate handling of potential risks.
South China Agricultural University
1st place: MATLAB/Simulink Application Award - Formula Student China 2023
The team used the VDBS of MATLAB to build a 14-DOF vehicle model and complete the vehicle dynamics simulation; used Simscape Multibody to refine the vehicle's physical model; used Simulink Project to integrate and manage the driver, controller, racing car, and visualization modules; and developed three interactive design tools with the APP designer. They also adopted MBD for developing a vehicle control system on Huahai Rapid ECU U3. They developed and verified the longitudinal and horizontal control algorithms including a longitudinal velocity estimation based on Kalman filters, DYC, TCS, ASR, ABS, and a braking energy recovery algorithm with simulations. They managed data with data dictionaries and carried out static and dynamic verifications of models with Simulink tools.
Kyoto Institute of Technology
1st place overall: Formula Student Japan 2023
Our team used MATLAB/Simulink to optimize wheel rates and damping ratios to reduce wheel load variability. This allowed us to break the Endurance lap time record.
Nagoya University
1st place: EV, 1st place: Japanese New Record 3.649s – Acceleration - Formula Student Japan 2023
The team built models for both ECU and 2-wheel/4-wheel simulations using MATLAB/Simulink. This MILS system enabled them to test a new Vehicle Dynamics Control algorithm quickly and accurately, leading to their achievement of the Japanese record.
Virginia Tech
2nd place: MathWorks Simulation Challenge, 3rd place: overall Static - SAE AutoDrive Challenge II Year 2 - 2023
The Victor Tango team was able to leverage the ROS toolbox using a combination of MATLAB and Simulink to develop “Simulink-in-the-loop”. This innovative cross-platform Simulink-based development environment helped the team rapidly deploy software modules in a fraction of the time once required. The team is now fully embracing this new fast-paced development style to propel them further in future competitions.
University of Washington
3rd place overall: FSAE Michigan Electric 2023
Top level vehicle design parameter sensitivities such as mass, moment of inertia, TLLTD, etc, are determined using an in-house steady-state vehicle simulation script written in MATLAB. Parameters such as pack capacity, gear reduction ratio, and a baseline pedal map are also developed with other MATLAB tools.
STES Smt. Kashibai Navale College of Engineering
1st place overall: Electric, 1st in Endurance, Efficiency, overall Dynamics, 3rd in Cost and Manufacturing Event, 4th in Design Event - Formula Bharat 2023
The team utilized MATLAB for lap time simulations by developing the vehicle model. It helped them understand the need for an overall aerodynamics package and vehicle performance parameters. The team also used MATLAB Simulink in the development of their battery-pack design.
Vishwakarma Institute of Technology, Pune
1st place: Combustion Category - Formula Bharat 2023
Veloce Racing India won the Formula Bharat 2023 in Combustion Category. They used MATLAB and Simulink models which proved to be crucial in design where various simulations were performed to analyze different parameters giving an edge in optimization without the need to manufacture it directly. Different models like Lap Time Simulation, Tire Model, Quarter Car Model, YMD, Sensitivity analysis helped them briskly to design their vehicle and analyze its performance.
Kyoto Institute of Technology
1st place overall: Formula Student Japan 2022
Two independent Simulink models were created to improve vehicle response to steering inputs. A model to verify the effect of the vehicle moment of inertia on the vehicle and a model to verify the effect of the unsprung weight on the vehicle were used to set better parameters and select better components on the actual vehicle.
University of Applied Sciences Augsburg
1st place: Driverless Cup - Formula Student Germany 2022
StarkStrom Augsburg designed their vehicle software in MATLAB and Simulink. Furthermore, they use both to develop and test control algorithms with the help of a self developed simulation. MATLAB is also used to set up the autonomous system, e.g. camera calibration.
University of Toronto
1st place overall: SAE Autodrive Challenge II Year 1 - 2022
At UToronto, a student-run autonomous vehicle competition team from the University of Toronto, has consecutively won for the 5th time in the SAE Autodrive Challenge Series. The team utilizes MATLAB for validating and benchmarking software algorithms during development extensively. Additionally, the team custom-built a Simulink-based automatic simulator to validate the robustness of their algorithms.
Osaka University
2nd place overall: Formula SAE Japan 2021
The team succeeded in finding the most efficient velocity parameters by considering various trade-offs in Simulink simulation. For example, raising the position of the rear wing increases the downforce, but at the same time, it will raise the center of gravity, and as a result, the vehicle speed slows down. By using this model for such trade-offs, the team was able to find the optimal position for the rear wing.
UAS Esslingen
1st place overall: Formula Student Combustion, Formula Student Germany 2021, Formula Student Austria 2021, Formula Student East 2021
Rennstall Esslingen is using MATLAB and Simulink for lap time and vehicle dynamics simulation and therefore helps to optimizing vehicle parameters during the design and testing period. Moreover, the software is used for data processing and analyzing in different departments.
Dr. Vishwanath Karad MIT World Peace University, Pune
1st place: overall, 1st place in overall Dynamics, 1st place in Gradeability, 1st place in Susupension and Traction, 1st place in All Terrain Peformance, 2nd place in overall Statics, 2nd place in Acceleration, 3rd place in Cost Event -BAJA SAEINDIA 2021
Team Piranha Racing, a team with a legacy of 12 years from MIT WPU won the BAJA SAE 2021 competition along with a total of 8 trophies. They used MATLAB to verify the pressure generated in their master cylinders, to simulate their stopping distance, and model their 4WD Powertrain through which they optimized their reduction ratio. These simulations helped the team complete their engineering product design cycle enabling them to better understand their ATV.
Indian Institute of Technology, Madras
Overall Champions: Combustion Class - Formula Bharat 2020 & 2021
The team Raftar Formula Racing from Indian Institute of Technology were the overall champions of the combustion class in Formula Bharat 2020. MATLAB, Simulink and Simscape have proved to be beneficial in understanding their Formula Student race car and have helped them make and validate critical design decisions. Using the right tools in the right ways gave the Raftar team the competitive edge that is responsible for their recent victory in the competition.
Jilin University
1st place: Combustion, 1st place: MathWorks Control Strategy and Software Implementation Award, 2nd place: MathWorks Vehicle Dynamics Simulation Award - Formula Student China 2020
Gspeed Formula Racing Team from Jilin University China developed vehicle dynamics models and vehicle control system models in MATLAB/Simulink. The team also used a rapid prototyping control system and developed an ABS+EBD controller with automatic code generation in Simulink. These activities helped the team significantly on parameter optimization and performance prediction of the racing car, and thus accelerated the design of a more competitive chassis and powertrain.
Pimpri Chinchwad College of Engineering
1st place: Electric - Formula Bharat 2021
Team Kratos used MATLAB for tire modeling to analyze the forces and moments generated in the tire. They built a bicycle model to observe the effects of weight distribution and wheelbase on balance and response. A 2 Track model was developed to select an optimum anti-roll stiffness distribution and wheel track as a metric of balance. The team also developed a Simulink model to simulate and validate the high voltage buck converter.
K.J. Somaiya College of Engineering, Somaiya Vidyavihar University
1st place: Electric - Formula Bharat 2020
Orion Racing India is a Formula SAE team from K. J. Somaiya College of Engineering, Mumbai. The team is comprising of 70+ undergraduate students from various disciplines. Their aim is to achieve something tangible at a undergraduate level. With their vision set high, they have proved themselves as 4 time national champions, winning the competition every time they have participated. They used MATLAB, Simulink & Simscape to model various subsytem of the vehicles which include E-powertrain, Vehicle Dynamics, Composites and also for research into Driverless Vehicles, which helped them achieve these laurels.
Shri Vishnu Engineering College for Women (Autonomous), Bhimavaram
1st place: overall, 1st place: CAE, 1st place: Durability - BAJA SAEINDIA 2020
The team from Shri Vishnu Engineering College for Women won 1st place Overall in BAJA SAEINDIA 2020. The team utilized Simulink for the simulations for the battery pack and motor of their vehicle, helping them to check their performance beforehand and allowing them to also win 1st place for both the CAE Award and Durability Award of the competition.
South China Agricultural University
1st place: MathWorks Vehicle Dynamics Simulation Award, 2nd place: MathWorks Control Strategy and Software Implementation Award - Formula Student Electric China 2019
The electric car team from South China Agricultural University won the 1st place MathWorks Vehicle Dynamics Simulation Award as well as the 2nd place MathWorks Control Strategy and Software Implementation Award in FSEC 2019. The team's entry for the MathWorks Vehicle Dynamics Simulation Award created GUI to realize friendly human-computer interface, flexibly used variant subsystems and Simulink projects to reflect a good engineering management concept that had a high degree of system complexity. The team demonstrated the entire process of Model-Based Design for Vehicle Control Unit development. The entire process included modeling, model static verification, model dynamic verification and data management for code generation.
ETH Zürich
1st place: Driverless Category - Formula Student East, Formula Student Germany 2019
In 2019, AMZ continued their success in the Formula Student Driverless category. Besides a 1st place in FS East, AMZ could win in Germany for the third time in a row. The team used MATLAB and Simulink to develop the controller for their autonomous racecar.
University of Toronto
1st place: overall - SAE AutoDrive Challenge Year 2 - 2019
Zeus, the autonomous Chevrolet Bolt from the University of Toronto, placed first overall for the second year in a row at the AutoDrive Challenge by successfully completing challenges involving correctly handling traffic lights, railroads, and pedestrian crosswalks. The team also placed first in the MathWorks Simulation Challenge by using MATLAB’s ROS connectivity to test their planning and controller code in the Unreal Engine virtual Mcity simulation.
Nagoya Institute of Technology
1st place: overall - Formula SAE Japan 2019
N.I.T. Formula Project team won the first prize overall in 2019 Formula SAE Japan; it is their first victory in the competition. They simulate a two-degree-of-freedom spring-mass model using MATLAB and Simulink to determine the suspension damping ratio. They also performed an FFT analysis in MATLAB to see when and what vibrations occurred from the logging data of the test drive.
Polytechnique Montréal
1st place: Single-Occupant Vehicle - Formula Sun Grand Prix (FSGP) 2019
With the help of MATLAB, the team monitored the battery’s state by parsing through the CAN bus data. They also compared the predicted weather and current weather to determine the optimal driving speed. This was the key to the team’s race strategy.
Nagoya University
3rd place: overall, 1st place: EV Class - Formula SAE Japan 2019
Nagoya University Formula Team FEM received 3rd place overall in 2019 Formula SAE Japan, as well as 1st place in the EV Class. They used MATLAB and Simulink to design a controller for yaw moment control, traction control and torque vectoring. They developed the three-degree-of-freedom vehicle model, such as a plant and the control system. They also ran a real-time simulation of the control system of dSPACE hardware, in which the controller model was embedded directly from Simulink.
McGill University
1st place: overall, 1st in Engineering Design, 1st in Acceleration, 2nd in Skidpad, 3rd in Energy Efficiency, 3rd in Sales Presentation - Formula SAE Electric (Lincoln, Nebraska) 2019
With MATLAB, the team was able to generate a point-mass lap sim that determines all their design targets. With Simulink, they were able to generate a Battery Model and a State of Charge Estimator with Kalman Filtering. They were also able to generate a Torque Controller that includes Regenerative Braking and Traction Control.
Polytechnique Montréal
1st place: FSAE Lincoln 2019 – FSAE Michigan, FSAE North, FSAE Lincoln
The FPM19 (Formule Polytechnique Montréal) was developed from the past iteration of the car based on a full car model built in Simulink with the use of Simscape Multibody and other libraries from Simulink. This tool was used to get laptime simulation, load analysis of the suspension, transient responses of the vehicle and many other parameters. This allowed the team to compare different car modifications and implement the best option for the 2019 iteration.
Nirma University
1st place: Overall Endurance award, CAE award and Sales award - BAJA SAEINDIA 2019, Indore
The team used Simulink to simulate their range for the endurance race and optimize their performance. They also used MATLAB for all important steering and brake calculations.
Rashtreeya Vidyalaya College of Engineering
2nd place: overall - mbaja at BAJA SAEINDIA 2019, IIT Ropar
Team Helios Racing of RV College of Engineering placed 2nd overall at BAJA SAE INDIA, IIT Ropar. They used MATLAB to obtain the primary and secondary Ramp profiles of their custom continuously variable transmission. These ramp profiles serve as the part against which rollers roll to vary the side force acting on the belt. The belt transfers power from the primary pulley to the secondary pulley.
Monash and Deakin University, Australia
3rd place: Abnormal Heart Function - George B. Moody PhysioNet Challenge 2022
George B. Moody PhysioNet Challenge was on detecting abnormal child heart function based on multiple chest sound recordings with a stethoscope. Team Melbourne Kangas used MATLAB to denoise, segment, and extract features from these chest sounds, which were then used to train models to detect murmurs (abnormal heart sounds) and predict abnormal clinical outcomes.
Shanghai Academy of Social Sciences
2nd place: The Graduate Financial Data Modeling 2023
The team from the Shanghai Academy of Social Sciences won 2nd place in the Graduate Financial Data Modeling competition in China. They used the Financial Toolbox and the Risk Management Toolbox in MATLAB to do risk quantification and simulation for the investment portfolio and also construct a dynamic model to optimize the investment portfolio.
Université Laval – Faculté des sciences de l’administration
1st place: overall - Rotman International Trading Competition 2019
Our team used MATLAB to systematize our trading strategy for the options trading case and for the algorithmic trading case. It allowed us to trade efficiently, minimize trading errors and maximize profits in each heat.
King Mongkut's Institute of Technology Ladkrabang
1st Place – Granted Her Royal Highness Princess Maha Chakri Sirindhorn's Trophy: TESA Top Gun Rally 2024
The Resonance team used MATLAB for advanced signal processing, including FFT analysis, and machine learning to train and implement a Random Forest Classifier for fault detection. Simulink facilitated the real-time modeling and integration of algorithms into Raspberry Pi for efficient edge computation, ensuring accuracy and rapid response in detecting machine anomalies.
Kennesaw State University
Outstanding Award: Simiode Scudem 2023 Competition
The team undertook the Engineering Real World Application Challenge and excelled in defining a complex real-world problem using differential equations. They solved the differential equations in MATLAB Live Editor and animated the motion by integrating equations in Simulink and importing the CAD model in MATLAB Simscape. Their presentation was recognized with the Outstanding Award, placing them second highest in the points tally.
Ritsumeikan University
1st place: RoboCup Soccer Small Size League Division B - 2024
The Ri-one team utilized a Kalman filter in the SSL league to eliminate noise from the raw data, thereby improving the accuracy of their simulations. As a result, the team resolved issues such as the sudden loss of coordinate data received by the robots and unstable behavior during stops, significantly contributing to the team's victory.
The Ohio State University
2nd place: RoboSub - 2024
The Ohio State Underwater Robotics Team placed second at the 2024 RoboSub competition for autonomous underwater vehicles. The student organization utilized MATLAB and Simulink to develop their new Sliding Mode / PID hybrid control and thrust allocation system. Additionally, with the ROS toolbox, the control and thrust allocation system was compiled to C++ and directly integrated with the vehicle’s onboard CAN bus.
National University of Singapore
1st place: RoboSub 2023
Bumblebee Autonomous Systems, from NUS Singapore won the Maritime Robosub Challenge 2023. They used MATLAB for the simulation of controls and acoustics for the Autonomous Underwater vehicle 4.1. This allowed the team to fine tune the movement controls and acoustics model needed for the vehicle to complete tasks for the competition.
Leibniz Universität Hannover
2nd place: RoboCup Bordeaux - “Small Size League (Div. B)” 2023
The team used MATLAB to analyse the current match situation. For this purpose, MATLAB’s machine learning functions were used to develop heuristics that indicate the threat level of an opponent in order to decide which opponent to defend based on this.
Eindhoven University of Technology
1st place: RoboCup Middle Size League 2023
The soccer robots of Tech United participate in the Middle Size League, where two teams of five completely autonomous robots play soccer match against each other. The team uses MATLAB and Simulink to develop and generate real-time control software for their robot soccer players. This allows them to rapidly develop complex software, ranging from vision to real-time motion control to strategy software.
Polytechnic Secondary School, Zlaté Moravce
1st place: Road2FEI 2023
The team Inovec used MATLAB, Simulink, and Stateflow to develop and test control algorithms for an Arduino-based line following robot. Simulink Support Package for Arduino Hardware was utilized as an interface to line sensor and motors and to tune parameters. Robot successfully finished the track in all three attempts with the fastest time amongst competitors.
Mobile Area Coalition of Homeschoolers (MACH)
2nd place: BEST Award, South’s BEST Regional Championship - BEST Robotics 2022
For the 2022 BEST Robotics competition, MACH built and programmed a warehouse order completion robot. Simulink was used for control functions including an option for autonomous operation for certain tasks. The team won the Simulink Design Award at the South’s BEST Regional Robotics Championship.
Chiba Institute of Technology
1st place: Humanoid League in RoboCup Final 2022
CIT Brains used MATLAB for walking locomotion simulation in the pre-design stage of a robot. The team put the parameters of the robot into their model, graphed the movement of the center of gravity during their robot walking, and used the result to determine the plan for robot design.
Elburgo SumoBot - VeraCruz High School, Vitoria-Gasteiz, Spain
1st and 2nd place: Elburgo SumoBot 2021
Zurbitu Team, from Spain won the 1st and 2nd place at Elburgo SumoBot competition, where robots are built and programmed to fight and push the opponent out of a sumo ring. They used Simulink, Stateflow and LEGO MINDSTORMS EV3 Support from MATLAB to develop and test the algorithms used to control the robots. The use of Simulink allowed them to gather real-time data during the combats to debug and improve the algorithms.
MIT - World Peace University
1st place: National Winners - National DD Robocon 2020
The team used MATLAB and Simulink to model the omni drive which helped the team understand how the drive works and allowed for holonomic movement. The team also used MATLAB and Simulink to navigate the TRY ROBOT through 5 pole obstacles using 3 and 4 point Bezier curves to reach from one end of the field to another. The team used the PID Tuner to find the desirable range of the PID values for for both the robots.
Tecnológico de Monterrey
1st place: overall – Best Technical Design Report, Best Video, Best Website, Special Award Evidence in Testing - RoboBoat 2020
VantTec, from Tecnológico de Monterrey, won the international RoboBoat 2020 competition in a significant part due to work in simulation. They use Simulink to model the USV and design, tune, and test controllers before implementation.
Government College of Engineering Aurangabad
MathWorks Modeling Award: DD ROBOCON India 2019
We used MATLAB & Simulink for:
- Modelling and Simulation of Dynamic behaviour of autonomous robot
- Analysis of gaits and the algorithms for autonomous robot
- Designing the control system
- Calculating trajectory of Shagai with different angles and velocities for manual robot
- Transition of autonomous robot to different zones according to color of zone
Eindhoven University of Technology
1st place: Soccer Middle Size League RoboCup 2019
Tech United, the robot soccer team from Eindhoven University of Technology, won 1st Place in the RoboCup Soccer Middle Size League 2019 in Sydney, Australia. The team uses MATLAB and Simulink to develop and generate real-time control software for their robot soccer players. This allows the team to rapidly develop complex software, ranging from vision to real-time motion control to strategy software.
Technische Universität Graz
2nd place: Logistics League RoboCup 2019
Team GRIPS achieved 2nd place at the RoboCup Logistics League competition 2019 in Sydney. MATLAB and Simulink were used in the parameter tuning process for several control loops. The team plans to integrate MATLAB even more in the software stack by connecting to the Robot Operating System (ROS). This will enable the team to conveniently implement more sophisticated control algorithms.
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
2nd place: Soccer Small Size League RoboCup 2019
ER-Force is a RoboCup Soccer Small Size League team that came in second place in this year’s international event in Sydney, Australia. They used MATLAB to develop, simulate, and optimize their motion control systems for their autonomous soccer robots. Efficient and precise motor control is crucial in the competitive RoboCup environment and MATLAB has allowed them to keep up with the competition despite using smaller (and therefore less powerful) motors.
The University of Texas at Dallas
1st place: IEEE International Future Energy Challenge - 2024
The undergraduate team at UT Dallas used MATLAB and Simulink to develop a control loop for their Audio Amplifier capable of achieving minimal distortion and noise. They also used Simulink’s Frequency Response Estimator to ensure the system's stability.
Xi’an Jiaotong University
1st place: MathWorks Awards, 1st place: overall, GEDC Star - The China Graduate Electronics Design Contest - 2024
The “BloodNet Heroes” team designed an Ultrafast Ultrasound Multimodal Blood Flow Imaging and Analysis Equipment. They used MATLAB to design imaging processing algorithms and Apps. They proposed advanced image processing algorithms, then used MATLAB App Designer to design user interfaces and integrated the algorithms into the App to control the imaging system and verify the developed algorithms' performance. The creativity of their work made the team recognized as one of the three GEDC stars in 2024.
Rajshahi University of Engineering & Technology
3rd prize: IEEE Signal Processing Cup 2024
Team Pseudo_Spectrum from RUET won the 3rd prize in the IEEE Signal Processing Cup 2024. They used MATLAB for analyzing, preprocessing (noise reduction), and feature extraction of the provided audio signals. The use of MATLAB helped the team to find the solution to the problem.
Tsinghua University
1st place: Emotional BCI (Undergraduate Group) - World Robot Contest – Brain-Computer Interface Competition 2023
Zhangxu Yu, from Tsinghua University, won the 1st place in the Emotional BCI (Undergraduate Track) at the 2023 World Robot Contest – Brain-Computer Interface Competition. He used MATLAB to preprocess (filter and reference) the EEG raw data, extracted the Differential Entropy (DE) feature from the processed data, at last processed the DE feature data with an algorithm and compute the prediction vector. The index of the maximum in the prediction vector becomes the final result.
Wuyi University
2nd place: Emotional BCI (Undergraduate Group) - World Robot Contest – Brain-Computer Interface Competition 2023
Yiwen Feng, Yuanbin Zhu, and Shihao Wu, three students from the Brain-Like Computation and Hybrid Intelligence Center at Wuyi University, achieved the 2nd, 3rd, and 5th places, respectively, in the Emotional BCI (Undergraduate Group) at the 2023 World Robot Contest – Brain-Computer Interface Competition. They used the Signal Processing Toolbox for data preprocessing, the Statistics and Machine Learning Toolbox for preliminary data exploration, and the Deep Learning Toolbox to develop highly discriminative and generalizable models. These models were subsequently applied to EEG-based cross-subject emotion recognition, delivering outstanding performance.
Xi’an Jiaotong University
1st place: MathWorks Application Award, 1st place: overall - China Graduate Electronic Design Contest 2023
The Super High-Efficiency Meow (SHEM) team from Xi'an Jiaotong University won the 1st place MathWorks Award and 1st place overall in the China Graduate Electronic Design Competition (GEDC) 2023 among 6,289 teams. The team built the modular power electronic transformer simulation model in MATLAB and Simulink to validate the topology working principle. They also developed a novel three-phase closed-loop control algorithm, set up the overvoltage protection strategy, and prototyped the controller using automatic code generation in Simulink. To sum up, the team built a MATLAB/Simulink project to integrate the main circuit model, the controller, and scripts for a more efficient modular design.
Huazhong University of Science and Technology
1st place: MathWorks Award, 1st place: overall (TOP 10) - China Graduate Electronic Design Competition 2020
The CAEMD team from Huazhong University of Science and Technology won the 1st place MathWorks Award and 1st place overall (TOP 10) in China Graduate Electronic Design Competition (GEDC) 2020 among 3,818 teams. They used MATLAB and Simulink to develop control algorithms for the brushless dual-electrical-port dual-mechanical-port (BLDD) machine by taking advantage of the benefits of Model-Based Design (MBD). Target Language Compiler programming and Legacy Code Tool were used to integrate handwritten code and reduce repetitive work. The usage of Stateflow for timing modeling and the control of system state switching enabled more intuitive state development and more complex logic implementation. Moreover, the data dictionary was used to facilitate the model data management and configurations. At last, the efficiency of the code was improved by operations such as data inlining, modifying the program pre-compiled instructions to let it run in RAM, and removing redundant auto-generated code.
Liaoning University of Technology
1st place: MathWorks Award - China Graduate Electronic Design Competition 2019
The Smart Car Autonomous-Driving Team from Liaoning University of Technology won the 1st place MathWorks Award in China GEDC 2019. The team developed an intelligent control system platform for autonomous vehicle. MATLAB scripts were used to calculate the reference path for autonomous vehicle. Simulink was used to setup the models and the model libraries for control algorithms, and the simulation environment for smart control of driver-less vehicle. Simulink was also used for validation of control models, data management and the generation of embedded codes. The team mainly consists of graduate students. Its members are from the Wonder Autonomous-Driving Team of Liaoning University of Technology. The team also participated in Formula Student Autonomous China (FSAC) Competition for the first time in 2018 and won the third place.
INSA Toulouse
1st place: RobAFIS 2021
INSA Toulouse team used MATLAB - System Composer to develop a model-based system including their robot, a human-machine interface and a maintenance and manipulation operator. This system was developed as part of the 16th edition of the RobAFIS competition. This year, a robot had to be remotely controlled to interact with a tower made of wooden pieces following different game modes.
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