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Learn robotics and control with this comprehensive free online course by IIT Roorkee. Explore kinematics, dynamics, manipulator control, and neural network-based control.
The course titled "Robotics and Control" spans a comprehensive duration of 21 hours and 37 minutes, making it a robust educational experience. As part of the Professional Courses category, situated within the subcategory of Engineering and Mechanics, this program stands as a paramount resource for anyone aiming to dive deep into the world of robotics and control systems.
This meticulously designed course begins with an insightful promo, "Robotics and Control: Theory and Practice," laying the foundation for what's to come. The opening lecture, aptly named "Introduction," sets the stage by familiarizing learners with the key concepts and scope of the course. Subsequent lectures cover essential topics like "Coordinate Frames and Homogeneous Transformations," split into two insightful segments, followed by "Differential Transformations" which delve into the intricacies of converting differential changes between coordinate frames.
Moving forward, the course meticulously examines the "Kinematic Model for Robot Manipulator," allowing learners to understand the fundamentals of robotic movements. Detailed lectures on "Direct Kinematics" and "Inverse Kinematics" provide a dual perspective on calculating the position and orientation of the robot's end-effector. The focus then shifts to the "Manipulator Jacobian" which explores both theoretical and practical examples, ensuring a thorough grasp of the concept.
One cannot overstate the significance of "Trajectory Planning" and the "Dynamics of Manipulator" lectures, the latter extended into multiple sessions to cover both single and multiple degrees of freedom. These lectures pave the way for understanding the "Stability of Dynamical Systems" and various aspects of "Manipulator Control."
In an exciting shift, the course introduces the "Biped Robot Basics," progressing through advanced topics like the "Flat Foot Biped Model" and its extension to the "Toe Foot Model." This foundational knowledge prepares learners for the intricate workings of "Artificial Neural Networks" and how these networks are applied to "Neural Network based control for Robot Manipulator."
The course doesn't stop at traditional robotics but also delves into specialized topics like "Redundancy Resolution of Human Fingers in Cooperative Object Translation" and the "Fundamentals of Robot Manipulability." These segments afford a deeper understanding of human-robot interaction.
A distinct section of the course is dedicated to "Robotic Exoskeletons." It begins with an introduction and delves into the design and development of exoskeletons, particularly focusing on a three-finger model. Subsequent lectures cover the "Force Control of an Index Finger Exoskeleton" and "Neural Control based on Human Subject Intention," showcasing cutting-edge advancements in this field.
The course further expands into "Robot Assisted Percutaneous Interventions," examining real-world applications through experimental insights. This includes a focus on "Smart Needles" and various control modes like "Sliding Mode Control" and "Higher Order Sliding Mode Control."
To round off this comprehensive program, learners are introduced to "Flexible Link Kinematics" and their practical applications in the "Model Based Control of Robot Manipulator." The final lecture on the "Simulation of Robot Manipulators" integrates theoretical knowledge with practical, hands-on simulation experiences, providing a holistic understanding of robotics and control systems.
This course promises a thorough academic journey into the universe of robotics and control, though it awaits its first review. Those who embark on this journey can expect to gain not only theoretical insights but also practical skills that are highly valued in the field of engineering and mechanics.
Video class: Promo: Robotics and Control: Theory and Practice
0h02m
Exercise: Which topic is NOT covered in the first part of the 'Robotics and Control' course offered by IIT Roorkee?
Video class: Lecture 01: Introduction
0h43m
Video class: Lecture 02: Coordinate Frames and Homogeneous Transformations-I
0h35m
Exercise: Which of the following is a correct statement about rotation matrices in the context of coordinate frames in robotics?
Video class: Lecture 03: Coordinate Frames and Homogeneous Frames-II
0h31m
Video class: Lecture 04: Differential Transformations
0h34m
Exercise: What is the purpose of differential transformations in the context of coordinate frames in robotics?
Video class: Lecture 05: Transforming Differential Changes between Coordinate Frames
0h30m
Video class: Lecture 06: Kinematic Model for Robot Manipulator
0h30m
Exercise: What is the main purpose of assigning coordinate frames at every joint of a robot manipulator?
Video class: Lecture 07: Direct Kinematics
0h33m
Video class: Lecture 08: Inverse Kinematics
0h29m
Exercise: What is the result of dividing the r_3_2 term by the r_3_1 term in the kinematics equations for a 4-axis robot manipulator?
Video class: Lecture 09: Manipulator Jacobian
0h25m
Video class: Lecture 10: Manipulator Jacobian Example
0h25m
Exercise: Which joints are prismatic in the described robot manipulator?
Video class: Lecture 11: Trajectory Planning
0h26m
Video class: Lecture 12: Dynamics of Manipulator
0h31m
Exercise: Which of the following best describes the Lagrangian (L) in the context of dynamics equations for robot manipulators?
Video class: Lecture 13: Dynamics of Manipulator (cont.)
0h32m
Video class: Lecture 14: Manipulator Dynamics Multiple Degree of Freedom
0h31m
Exercise: What does the term 'n degree of freedom manipulator' refer to in robotic systems?
Video class: Lecture 15: Stability of Dynamical System
0h40m
Video class: Lecture 16: Manipulator Control
0h34m
Exercise: Which equation represents the classical dynamical model of a robot manipulator?
Video class: Lecture 17: Biped Robot Basics and Flat Foot Biped Model
0h34m
Video class: Lecture 18: Biped Robot Flat Foot and Toe Foot Model
0h42m
Exercise: What is the importance of the Zero Moment Point (ZMP) in the context of biped robot stability?
Video class: Lecture 19: Artificial Neural Network
0h34m
Welcome to our comprehensive list of free Robotics and Mechatronics courses, a specialized subcategory within the fields of Engineering and Mechanics. Whether you're a beginner eager to dive into the fascinating world of robotics or an experienced engineer looking to enhance your skills, our curated selection of courses will help you achieve your goals without breaking the bank.
Robotics and Mechatronics are interdisciplinary fields that combine mechanical engineering, electronics, computer science, and control engineering. These courses cover a wide range of topics, including robot design, automation, sensor technology, AI integration, and more. Explore our list to find the perfect course that matches your interests and career aspirations.
Each course is designed to provide valuable knowledge and practical skills, ensuring you stay ahead in the rapidly evolving fields of Robotics and Mechatronics. These free courses are offered by top universities and educational platforms, making high-quality education accessible to everyone.
Don't miss out on the opportunity to advance your career and deepen your understanding of Robotics and Mechatronics. Start learning today with our list of free courses and take the first step towards becoming an expert in this exciting field.
For more information on related courses, visit our Engineering and Mechanics category page.
21 hours and 37 minutes of online video course
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