Introduction to Robotics | IIT Madras
4.0
(5)
45 learners
What you'll learn
This course includes
- 28.3 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 43 lessons • 28.3 hours of video
Introduction to Robotics | IIT Madras
43 lessons
• 28.3 hours
Introduction to Robotics | IIT Madras
43 lessons
• 28.3 hours
- #1 Introduction to Robotics 32:33
- #2 Evolution of Robotics | Introduction to Robotics 53:39
- #3 Kinematics | Coordinate Transformations | Introduction to Robotics 50:52
- #4 Homogeneus Transformation Matrix | Introduction to Robotics 53:51
- #5 Industrial Robot Kinematic Structures | Introduction to Robotics 23:13
- #6 Robot Architectures | Introduction to Robotics 37:22
- #7 Kinematic Parameters | Introduction to Robotics 28:22
- #8 DH Algorithm | Introduction to Robotics 50:36
- #9 DH Algorithm | Examples | Introduction to Robotics 47:09
- #10 Forward Kinematics | Introduction to Robotics 45:05
- #11 Forward Kinematics | Examples | Introduction to Robotics 39:58
- #12 Inverse Kinematics | Introduction to Robotics 53:24
- #13 Inverse Kinematics | Examples | Introduction to Robotics 48:37
- #14 Differential Relations | Introduction to Robotics 51:32
- #15 Manipulator Jacobian & Statics | Introduction to Robotics 45:05
- #16 Overview of Electric Actuators & Operational Needs | Introduction to Robotics 46:16
- #17 Principles of DC Motor Operation | Introduction to Robotics 47:29
- #18 DC Motor Equations | Principles of Control | Introduction to Robotics 50:17
- #19 DC Motor Control Regions | Principles of Power Electronics | Introduction to Robotics 47:49
- #20 Power Electronic Switching | Current Ripple | Introduction to Robotics 43:45
- #21 The H-Bridge | DC Motor Control Structure | Introduction to Robotics 54:56
- #22 The Brushless DC Machine | Introduction to Robotics 44:45
- #23 Control of the Brushless DC Motor | Introduction to Robotics 52:44
- #24 The PM Synchronous Motor (PMSM) | SPWM | Introduction to Robotics 49:14
- #25 Principles of PMSM Control | Introduction to Robotics 52:53
- #26 Encoders for Speed & Position Estimation | Introduction to Robotics 47:29
- #27 Stepper Motors | Introduction to Robotics 46:40
- #28 Introduction to Probabilistic Robotics | Introduction to Robotics 29:29
- #29 Recursive State Estimation:Bayes Filter | Introduction to Robotics 29:04
- #30 Recursive State Estimation:Bayes Filter Illustration | Introduction to Robotics 30:03
- #31 Tutorial - 1 | Probability Basics | Introduction to Robotics 22:58
- #32 Tutorial - 2 | Probability Basics | Introduction to Robotics 28:47
- #33 Kalman Filter | Introduction to Robotics 33:13
- #34 Extended Kalman Filter | Introduction to Robotics 22:58
- #35 Particle Filter | Introduction to Robotics 47:47
- #36 Binary Bayes | Introduction to Robotics 21:04
- #37 Velocity Motion Model | Introduction to Robotics 31:32
- #38 Odometry Motion Model | Introduction to Robotics 27:53
- #39 Occupancy Grid Mapping | Introduction to Robotics 23:46
- #40 Range Finder Measurement Model | Introduction to Robotics 19:46
- #41 Localization Taxonomy | Introduction to Robotics 28:53
- #42 Markov Localization | Introduction to Robotics 18:41
- #43 Path Planning | Introduction to Robotics 43:34
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