Njord - The Autonomous Ship Challenge 2024
The Autonomous Ship Challenge is a unique, international student competition where participants are tasked with designing and building an autonomous ship. Teams are then invited to bring their vessels to the Trondheimsfjord, where they will compete in a series of challenges and events. The 2024 Challenge will be held from August 5th through August 16th, 2024.
Complimentary Software
MathWorks provides complimentary software for this competition. If your team is participating in this competition and needs software, fill out the software request form.
Request softwareMATLAB and Simulink
Robotics Arena
Learn how to use MATLAB and Simulink to design algorithms, create simulations, and speed up development for student competitions in robotics and unmanned systems.
Competition Resources
Video Tutorials for Your Team
Interactive Online Tutorials
Learn by doing! Our two-hour online courses provide a hands-on learning environment where you will interact with a web-based version of MATLAB and receive instant and contextual feedback.
View all tutorialsMobile Robotics Training Videos
Learn to design and test autonomous robot algorithms using MATLAB and Simulink with these free training materials.
Code Generation Video Tutorials
Learn how to convert MATLAB functions and Simulink models to C/C++ code.
Student Lounge Blog
Learn more about best practices and teamwork for student competitions.
Read blog postsThe Winner's Circle
See how students are winning competitions worldwide with MATLAB and Simulink.
Explore student projects
Join the User Community on MATLAB Central
Submit files or ask questions about this competition.
Ask a question on MATLAB Answers
Tag your submission with njordtheautonomousshipchallenge
Complimentary Software
MathWorks is pleased to sponsor the Njord - The Autonomous Ship Challenge 2024 competition. MathWorks will provide software, training, and access to MathWorks engineering mentors and technical support to teams who have completed the Student Competition Software Request Form.
Software Request FormHere are the products we will be providing that you may have access to:
Complimentary Software for
- MATLAB
- Simulink
- Aerospace Blockset
- Aerospace Toolbox
- Audio Toolbox
- Automated Driving Toolbox
- Communications Toolbox
- Computer Vision Toolbox
- Control System Toolbox
- Curve Fitting Toolbox
- DDS Blockset
- Deep Learning HDL Toolbox
- Deep Learning Toolbox
- DSP System Toolbox
- Embedded Coder
- Filter Design HDL Coder
- Fixed-Point Designer
- Global Optimization Toolbox
- GPU Coder
- HDL Coder
- HDL Verifier
- Image Acquisition Toolbox
- Image Processing Toolbox
- Instrument Control Toolbox
- Lidar Toolbox
- MATLAB Coder
- MATLAB Compiler
- MATLAB Compiler SDK
- MATLAB Report Generator
- Mixed-Signal Blockset
- Model Predictive Control Toolbox
- Motor Control Blockset
- Navigation Toolbox
- Optimization Toolbox
- Parallel Computing Toolbox
- Phased Array System Toolbox
- Powertrain Blockset
- Predictive Maintenance Toolbox
- Radar Toolbox
- Reinforcement Learning Toolbox
- Requirements Toolbox
- Robotics System Toolbox
- Robust Control Toolbox
- ROS Toolbox
- Sensor Fusion and Tracking Toolbox
- Signal Processing Toolbox
- Simscape
- Simscape Driveline
- Simscape Electrical
- Simscape Fluids
- Simscape Multibody
- Simulink 3D Animation
- Simulink Check
- Simulink Code Inspector
- Simulink Coder
- Simulink Compiler
- Simulink Control Design
- Simulink Coverage
- Simulink Design Optimization
- Simulink Design Verifier
- Simulink Desktop Real-Time
- Simulink PLC Coder
- Simulink Real-Time
- Simulink Report Generator
- Simulink Test
- SoC Blockset
- Stateflow
- Statistics and Machine Learning Toolbox
- Symbolic Math Toolbox
- System Composer
- System Identification Toolbox
- Text Analytics Toolbox
- UAV Toolbox
- Vehicle Dynamics Blockset
- Vehicle Network Toolbox
- Vision HDL Toolbox
- Wavelet Toolbox
Your team leader or faculty advisor should review and complete the Student Competition Software Request Form to take advantage of our software offer.
Software Request FormBest of luck in your preparation!
Lauren Tabolinsky
MathWorks Student Competition Program
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