Self Driving And Ros - Learn By Doing! Odometry & Control - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Self Driving And Ros - Learn By Doing! Odometry & Control (/Thread-Self-Driving-And-Ros-Learn-By-Doing-Odometry-Control) |
Self Driving And Ros - Learn By Doing! Odometry & Control - AD-TEAM - 11-12-2024 Self Driving And Ros - Learn By Doing! Odometry & Control Last updated 6/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English (US) | Size: 5.17 GB | Duration: 19h 33m Create a Self-Driving robot and learn about Robot Localization and Sensor Fusion using Kalman Filters What you'll learn Create a Real Self-Driving Robot Mastering ROS, the Robot Operating System Implement Sensor Fusion algorithms Simulate a Self-Driving robot in Gazebo Develop a Controller Odometry and Localization Kalman Filters and Extended Kalman Filter Probability Theory Differential Kinematics Create a Digital Twin of a Self-Driving Robot Master the TF library Requirements Basic knowledge of Python or C++ Basic knowledge of Linux No prior knowledge of ROS required No prior knowledge of Robotics theory required No hardware required. All the course can be followed also using only the PC Description Would you like to build a real Self-Driving Robot using ROS, the Robot Operating System?Would you like to get started with Autonomous Navigation of Robot and dive into the theoretical and practical aspects of Odometry and Localization from industry experts?The philosophy of this course is the Learn by Doing and quoting the American writer and teacher Dale Carnegie Learning is an Active Process. We learn by doing, only knowledge that is used sticks in your mind.In order for you to master the concepts covered in this course and use them in your projects and also in your future job, I will guide you through the learning of all the functionalities of ROS both from the theoretical and practical point of view.Each section is composed of three parts:Theoretical explanation of the concept and functionalityUsage of the concept in a simple Practical exampleApplication of the functionality in a real RobotThere is more! All the programming lessons are developed both using Python and C++ . This means that you can choose the language you are most familiar with or become an expert Robotics Software Developer in both programming languages!By taking this course, you will gain a deeper understanding of self-driving robots and ROS, which will open up opportunities for you in the exciting field of robotics. Who this course is for: Self-Driving enthusiast,Makers and Hobbists keen on robotics,Software developers taht wants to learn ROS and Robotics,Students or Engineers that wants to learn how to buid a robot from scratch,Developers that already knows ROS and that want to use it in a real world application,Robotics Engineers that wants to develop skills in Autonomous Navigation,Beginner Python developers curious about Self-Driving,Beginner C++ developers curious about Self-Driving For More Courses Visit & Bookmark Your Preferred Language Blog From Here: - - - - - - - -
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