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Updated in [October 18th, 2023]

What does this course tell? (Please note that the following overview content is from the original platform) Do you want to know how robots work? Are you interested in robotics as a career? Are you willing to invest the effort to learn fundamental mathematical modeling techniques that are used in all subfields of robotics?

If so then the "Modern Robotics: Mechanics Planning and Control" specialization may be for you This specialization consisting of six short courses is serious preparation for serious students who hope to work in the field of robotics or to undertake advanced study It is not a sampler

In Course 3 of the specialization Robot Dynamics you will learn efficient numerical algorithms for forward dynamics (calculating the robots acceleration given its configuration velocity and joint forces and torques) and inverse dynamics (calculating the required joint forces and torques given the robots configuration velocity and acceleration) The former is useful for simulation and the latter is useful for robot control You will also learn how to plan robot trajectories subject to dynamic constraints

This course follows the textbook "Modern Robotics: Mechanics Planning and Control" (Lynch and Park Cambridge University Press 2017) You can purchase the book or use the free preprint pdf You will build on a library of robotics software in the language of your choice (among Python Mathematica and MATLAB) and use the free cross-platform robot simulator V-REP which allows you to work with state-of-the-art robots in the comfort of your own home and with zero financial investment We considered the value of this course from many aspects, and finally summarized it for you from two aspects: skills and knowledge, and the people who benefit from it: (Please note that our content is optimized through artificial intelligence tools and carefully reviewed by our editorial staff.) What skills and knowledge will you acquire during this course? During the "Modern Robotics Course 3: Robot Dynamics," students will acquire the following skills and knowledge: 1. Efficient numerical algorithms for forward dynamics: Students will learn how to calculate a robot's acceleration based on its configuration, velocity, and joint forces and torques. This skill is essential for simulation purposes. 2. Efficient numerical algorithms for inverse dynamics: Students will learn how to calculate the required joint forces and torques based on a robot's configuration, velocity, and acceleration. This skill is crucial for robot control. 3. Planning robot trajectories subject to dynamic constraints: Students will learn how to plan robot movements while considering dynamic constraints. This knowledge is essential for designing efficient and safe robot motions. 4. Familiarity with the textbook "Modern Robotics: Mechanics Planning and Control": Students will follow the course material based on the textbook "Modern Robotics: Mechanics Planning and Control" by Lynch and Park. This familiarity will provide a comprehensive understanding of the subject matter. 5. Proficiency in a programming language: Students will build on a library of robotics software in their preferred programming language, such as Python, Mathematica, or MATLAB. This proficiency will enable them to implement and experiment with robotics algorithms. 6. Experience with the robot simulator V-REP: Students will use the free cross-platform robot simulator V-REP to work with state-of-the-art robots. This experience will allow them to practice and test their knowledge in a realistic virtual environment. By acquiring these skills and knowledge, students will be well-prepared to work in the field of robotics or pursue advanced studies in robotics. Who will benefit from this course? This course will benefit individuals who are interested in robotics as a career and are willing to invest the effort to learn fundamental mathematical modeling techniques. It is suitable for serious students who hope to work in the field of robotics or undertake advanced study. Specific professions that will benefit from this course include: 1. Robotics Engineers: This course provides in-depth knowledge of robot dynamics, which is essential for designing and developing robots. It covers efficient numerical algorithms for forward and inverse dynamics, which are crucial for simulation and robot control. 2. Robotics Researchers: The course offers advanced concepts and techniques for planning robot trajectories subject to dynamic constraints. This knowledge is valuable for researchers working on improving robot motion planning and control algorithms. 3. Automation Engineers: Understanding robot dynamics is important for automation engineers who work with robots in industrial settings. This course equips them with the skills to optimize robot performance and ensure safe and efficient operations. 4. Software Developers: The course involves building on a library of robotics software in Python, Mathematica, or MATLAB. Software developers interested in robotics can enhance their programming skills and gain practical experience in developing robotics software. 5. Students pursuing a degree in Robotics or related fields: This course provides a solid foundation in robot dynamics, which is a fundamental aspect of robotics. It is beneficial for students who want to specialize in robotics or pursue further studies in the field. Overall, this course caters to individuals with a strong interest in robotics and a desire to gain expertise in robot dynamics and control.