Path Planning and Navigation for Autonomous Robots

Free MATLAB Trial: https://goo.gl/yXuXnS Request a Quote: https://goo.gl/wNKDSg Contact Us: https://goo.gl/RjJAkE Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe Simplify the complex tasks of robotic path planning and navigation using MATLAB® and Simulink®. This demonstration walks through how to simulate a self-parking car with just three components: a path, a vehicle model, and a path following algorithm. These lessons can be applied to all autonomous robots – not just self-driving cars. Start in MATLAB, where you can create a map of the environment. Next, you can generate a path for the robot to follow using built-in path planners. Use Simulink to create the vehicle model and customize it to be as complex as you need. Lastly, you can use built-in algorithms and blocks in MATLAB and Simulink to create the path-following algorithm. Try it yourself: Download the robotics trial [https://goo.gl/NkCuYZ] and explore the model [https://goo.gl/5d1QgN].