The ranking contains 250 courses from 100 universities based on 170,000+ learner reviews.
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
Indian Institute of Technology Madras
Introduction - Introduction to Robotics.Lecture 1.1 - Introduction.Lecture - 1.2 - Evolution of Robotics.Lecture - 2 .1 - Kinematics- Coordinate transformations.Lecture - 2.2 - Homogeneus Transformation Matrix.Lecture - 2.3 - Industrial Robot- Kinematic Structures.Lecture - 2.4 - Robot Architectures.Lecture - 2.5 - Kinematic Parameters.Lecture - 2.6 - DH Algorithm.Lecture - 2.7 - DH Algorithm.Lecture - 2.8 - Forward Kinematics.Lecture - 2.9 - Forward Kinematics- Examples.Lecture - 2.10 -Inverse Kinematics.Lecture - 2.11 - Inverse Kinematics- Examples.Lecture - 2.12 - Differential Relations.Lecture - 2.13 - Manipulator Jacobian and Statics.Lecture - 3.1 Overview of Electric Actuators and Operational Needs.Lecture 3.2 - Principles of DC Motor Operation.Lecture 3.3 - DC Motor Equations and Principles of Control.Lecture 4.1 - DC Motor Control Regions and Principles of Power Electronics.Lecture 4.2 - Power Electronic Switching and Current Ripple.Lecture 4.3 - The H-Bridge and DC Motor Control Structure.Lecture 5.1 - The Brushless DC Machine.Lecture 5.2 - Control of the Brushless DC Motor.Lecture 5.3 - The PM Synchronous Motor (PMSM) and SPWM.Lecture 6.1 - Principles of PMSM Control.Lecture 6.2 - Encoders for Speed and Position Estimation.Lecture 6.3 - Stepper Motors.Lecture 7.1 - Introduction to Probabilistic Robotics..Lecture 7.2 - Recursive State Estimation: Bayes Filter.Lecture 7.3 - Recursive State Estimation: Bayes Filter Illustration..Tutorial - 1 Probability Basics.Tutorial - 2 Probability Basics.Lecture 8.1 - Kalman Filter.Lecture 8.2 - Extended Kalman Filter.Lecture 8.3 - Particle Filter.Lecture 8.4 - Binary Bayes.Lecture - 9.1 Velocity Motion Model.Lecture - 9.2 Odometry Motion Model.Lecture - 9.3 Occupa Grid Mapping.Lecture 9.4 - Range Finder Measurement Model.Lecture 10.1 - Localization Taxonomy.Lecture 10.2 - Markov Localization.Lecture 10.3 - Path Planning.
Start your review of Introduction to Robotics
Get personalized course recommendations, track subjects and courses with reminders, and more.