The Winner's Circle
Cool projects. Raw talent. The right tools. With these ingredients student competition teams are winning competitions worldwide and shaping the future of automotive design, aerospace engineering, robotics, and many other technical fields
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.
Indian Institute of Technology, Madras
Overall Champions, Combustion Class - Formula Bharat 2020
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.
Shri Vishnu Engineering College for Women (Autonomous), Bhimavaram
1st Place Overall, 1st Place CAE Award, 1st Place Durability Award - 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.
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.
3rd Place Overall, 1st Place in 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.
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.
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.
Winning 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.
1st 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.
Liaoning University of Technology
2nd Place - Formula Student China 2018
Wonder Electric Formula Racing Team of Liaoning University of Technology won 2nd place in the Formula Student China 2018 final. The team used a complete verification tool chain, including Simulink Requirement, Simulink Check, Simulink Test, Simulink Coverage, and Simulink Design Verifier to fully verify the algorithm model according to industry product development process, which greatly improved their development efficiency and software reliability in the competition.
1st 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 overall in 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.
National University of Ireland Galway
Technical Innovation Award - Shell Eco-marathon Europe 2018
The team’s goal is to complete a 14.5-km course at an average speed of at least 25 km/h, using minimum energy. In order to derive an optimal racing strategy, a shortest path algorithm was written in MATLAB to work in conjunction with a Simulink vehicle model. This guided the designers and drivers to select the optimal drivetrain configuration and acceleration zones to be used on the given track.
University of Thessaly
2nd Place in Class 2 - Formula Student UK 2018
After taking 1st place in Design Event and 3rd in Business Plan Presentation, Centaurus Racing Team from University of Thessaly managed to claim 2nd place overall in Class 2 in IMechE Formula Student 2018. They used MATLAB for tire data analysis, dynamic analysis, and design optimization of a half-shaft.
1st Place - Student Formula Japan 2018
Osaka-Univ. Formula RAcing Club won first prize in the Student Formula Japan 2018 competition. They made a four-wheel car model using Simulink and simulated the car’s stability at different steering angles. They also determined the optimal length of the wheelbase, so that the car would remain stable while running on a skip pad for five seconds.
1st Place Combustion and 3rd Place Overall - Formula Student UK 2018
Monash Motorsport from Monash University in Melbourne, Australia won the Formula Student UK 2018 competition with their combustion car and came in third place overall with their first ever electric car. They used MATLAB for vehicle dynamics and lap time simulation in order to inform both conceptual design decisions and tuning. MATLAB and Simulink were also used extensively in powertrain development and troubleshooting.
Pimpri Chinchwad College of Engineering
1st Place - SUPRA SAEINDIA 2018
Team Kratos Racing from PCCOE, Pune stole the show at SUPRA SAEINDIA 2018 when they were not only declared overall winners, but also secured first place in CAE, Design, Business Plan, Skidpad, Autocross, and Engineering Excellence. It was indeed a great victory as the team won seven out of the total 10 awards this year. They also celebrated a remarkable triumph over being champions for the third time in a row. The team extensively used MATLAB and Simulink for tire modeling, suspension modeling, and Stateflow modeling, which helped in detailed and efficient designing of the vehicle.
Technical University of Munich
1st Place - SpaceX Hyperloop Pod 2018
After their victories in recent years, team WARR Hyperloop from the Technical University of Munich won the SpaceX Hyperloop Pod Competition for the third time in a row by building the fastest prototype in the race. The team used MATLAB and Simulink to optimize the design of the propulsion unit and to determine the optimal operation parameters.
Technical University of Munich
2nd Place - Shell Eco-Marathon Europe 2018
TUfast Eco Team from TU Munich succeeded in the new autonomous category. They used MATLAB and Simulink for crucial parts of the design of their car called muc018, “be it to prepare or analyze data, generate code for the planning system, write full ROS nodes in Simulink or even generate code for the GPU,” says Maximilian Mühlbauer, their 2018 head of autonomous driving.
University of Stuttgart
1st Place - Formula Student Spain 2018
GreenTeam from University of Stuttgart, who uses Speedgoat Baseline as their main ECU and is the only team to do so in Formula Student worldwide, won Formula Student Spain 2018 after scoring first at FS Germany and Hungary in August 2017. Formula Student Spain 2018 is remarkable because the partner team Rennteam also won their category. Find more about GreenTeam‘s fast and robust development approach using Simulink Real-Time in the user story from Speedgoat.
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.
Shattuck Public School
2nd Place BEST Award – Frontier Trails BEST Regional Robotics Championship 2018
The team at Shattuck Public School used Simulink to provide a simulation of their robot structures to help them design and build an effective robot. This year’s goal was to build a robot that might help clean up the oceans, and it was an exciting challenge.
Eastwood/Cornerstone Schools, Montgomery, AL
3rd Place Game Winners – South’s BEST Regional Robotics Championship 2018
Gears, Inc. Robotics team, from Eastwood/Cornerstone Schools, won the Simulink Design Award at the South’s BEST Regional Robotics Championship. They used Simulink and Stateflow to program their robot’s drive and control functions, allowing it to collect trash from a simulated ocean environment. The award was given based on the design and sophistication of the Simulink model, as well as the performance of their robot.
Bumblebee Autonomous Systems; National University of Singapore
1st Place – Maritime RobotX Challenge 2018
Team Bumblebee of National University of Singapore were crowned champions at the Maritime RobotX Challenge 2018, where they deployed an integrated Autonomous Surface Vessel – Autonomous Underwater Vehicle system for the competition. MATLAB was used to analyze underwater acoustic signals, model signal channel conditions, and evaluate and verify acoustic localization algorithms that utilized the Signal Processing and Phased Array System Toolboxes. C and HDL code were also generated and implemented on the system.
Universiti Sains Malaysia
1st Place - Innovate Malaysia Design Competition 2018
Team MY322 designed a distributed cooperative synchronization between master and slave units where both of the robot arms are connected over a network. The control signal is shared amongst them as well as the implementation of a robust observer, which uses sliding mode observer theory. MATLAB and Simulink support package for Arduino as well as Simulink Coder have been used to control the robot arms in synchronized motion and the fault is introduced via software by using Band-Limited White Noise block in MATLAB/Simulink. The team can set the value of noisy signal differently to see the performance of this robust observer.
Universiti Kebangsaan Malaysia
3rd Place - Innovate Malaysia Design Competition 2018
Team MY144 developed a smart and responsive blind with fuzzy logic as a main decision module. The fuzzy logic controls the length and angle of the blind and the LED brightness responds to any variation in thermal comfort parameters. The response is governed by the fuzzy inference system (FIS) and the membership function, namely the fuzzy controller. This system is developed using Fuzzy Logic Toolbox and MATLAB and Simulink support package for Arduino. The data is uploaded to the cloud via ThingSpeak Support Toolbox in order to incorporate the model with the IoT network system. The user can switch on or off the fuzzy controller and can monitor the thermal comfort parameters via a mobile app.
University of Bonn
1st Place - Main Competition, Drop-In Challenge, and Technical Challenge - RoboCup AdultSize Humanoid League 2018
Team NimbRo is one of the most successful teams in the history of the RoboCup Humanoid League, having won many first-place trophies and awards over the years, including 12 in only the last three years. They used MATLAB for the prototyping, visualization, evaluation, and testing of countless algorithms throughout their entire codebase. This includes the design of gait algorithms, dynamic models, numerical methods, soccer behaviors, and much more.
ROBOMOD; Genesis Global School
1st Place - RoboCup@Home Education (High School) 2018
The purpose of RoboCup@Home Education is to familiarize new teams with service robot development and to propel them to participate in RoboCup@Home Major league competitions. Team Nalanda from India used MATLAB for image processing and navigation, which helped them become the only team to complete the restaurant task across the University and High School categories.
2nd Place – OnStage Secondary – RoboCup German Open 2018
2nd Place – OnStage Advanced – European RoboCupJunior Championship 2018
The Evolution Bots won 2nd place in the OnStage category at both the RoboCup German Open and the European RoboCupJunior Championship. The team used MATLAB and Simulink to develop a smart home robot called Dobby, who could perform cleaning and entertainment tasks by working with visual recognition and voice control. Stateflow offered an easy way to switch from one state to another. Dobby is based on Raspberry Pi, which is supported by the Simulink support package.
U V Patel College of Engineering, Ganpat University
1st Place - Best Usage of MATLAB and Simulink - Robocon India 2018
MATLAB helped the team develop a digital image processing algorithm to detect shuttlecock. Simulink helped them develop an algorithm for autonomous and manual robots, and they were able to program the robots with the help of Stateflow.
Technische Hochschule Nürnberg Georg Simon Ohm
1st Place - RoboCup@Work - RoboCup Finals 2018
1st Place – RoboCupRescue and RoboCup@Work – RoboCup German Open 2018
Team AutonOHM from Technische Hochschule Nürnberg Georg Simon Ohm participated in both the Rescue and @Work leagues of RoboCup. They won first place in both leagues at the 2018 German Open event and went on to win first place in the RoboCup@Work League at the RoboCup Finals 2018. The Rescue team used MATLAB to simulate the manipulator for their mobile robot. They also generated C code from their MATLAB algorithms and exported it to their robot.
Richardson High School, Richardson, TX, USA
1st Place - Rose-Hulman Institute of Technology Autonomous Vehicle Challenge 2018
The Rose-Hulman Autonomous Vehicle Challenge is a competition for high school students to build and program a model vehicle to navigate various tracks as fast as possible. Students from Richardson High School in Richardson, Texas won first place at the 2018 Rose-Hulman Autonomous Vehicle Challenge out of 47 teams. This is their second first-place win in a row.
Wrocław University of Science and Technology
2nd Place - Red Eagle Contest 2018
MATLAB was used to create a trajectory plan of the Martian lander's flight around the Mars with the influence of Phobos and Deimos. The challenge was also to obtain flight parameters during aerodynamic braking when entering the atmosphere.
Université de Sherbrooke
1st Place - AUVSI's Student Unmanned Aerial Systems 2018
VAMUdeS (Véhicule Aérien Miniature de l’Université de Sherbrooke) is a student group from Québec, Canada, who specializes in autonomous unmanned aircrafts. The team won the AUVSI SUAS Competition for the last three years in a row, and also brought back the Cyber Security Award from the judges this year. VAMUdeS uses MATLAB and Simulink to prevent collisions with virtual obstacles during flight, isolate vibrations on the drone, and improve the accuracy of the different trajectories.
1st Place - AIAA Design/Build/Fly 2018
Clarkson AIAA from Clarkson University used MATLAB to perform sensitivity analysis, enabling the team to optimize their design to score maximum points, select airfoils, and perform aerodynamic calculations. They also used MATLAB to interface with a test rig to map out performance characteristics of propulsion systems and perform data analysis to choose the most appropriate system.
Universiti Teknologi Malaysia
2nd Place - Innovate Malaysia Design Competition 2018
First runner up, team MY115 developed a computer vision solution to estimate the level of myopia using the distance between a camera lens and a reference object. From real-time image acquisition, region of interest is extracted using color segmentation. Detection algorithms use the intrinsic parameter of the camera to perform pixel operation and apply triangle similarities. Distance can be computed with less than 2% maximum error after proper calibration. To overcome the stability issue due to surroundings, a GUI with calibrated model parameters is created. MATLAB analysis is done on the data stored on ThingSpeak to remove redundant and useless data pairs. The clean data is gathered by a mobile app with a data visualizer.
Huazhong University of Science and Technology
1st Place MathWorks Award and 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.
1st Place - AES MATLAB Plugin Student Competition and Showcase 2018
Using Audio Toolbox, Silvin Willemsen from Aalborg University won the Gold Award in the first ever AES MATLAB Plugin Student Competition and Showcase. His submission “Extended Virtual Analog Plate Reverb” simulates an audio effect greatly used by Pink Floyd and the Beatles in the fifties and sixties and makes physically fixed parameters—such as length and width of the plate and microphone positions—dynamic in real time.
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.
1st Place – MATLAB Volatility Trading Case, Rotman International Trading Competition 2018
The team used MATLAB to build a fully automated trading algorithm that can adapt to dynamic market conditions and capitalize on arbitrage opportunities while managing risk exposures