What you will learn
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Robotic Manipulators
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Kinematic parameters
Learn algorithmic approaches, mathematical models, and computational and motion control methods applicable to robotic manipulator systems; Recognize and analyze the basic mechanical and electrical systems concerning robots; Analyze and design the basic robotic systems; Implement and investigate the performance of various control techniques to the robotic manipulators
Lecture 1 - Introduction
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25:52
Lecture 2 - Introduction to robot mechanics
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24:34
Lecture 3 - Introduction to forward and inverse kinematics
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22:43
Lecture 4 - Description of position and orientation
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22:51
Lecture 5 - Transformation matrix
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19:03
Lecture 6 - Compund rotations part 1
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27:03
Lecture 7 - Compound rotations part 2
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20:48
Lecture 8 - Kinematic parameters
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25:53
Lecture 9 - DH parameters
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13:32
Lecture 10 - DH representation
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26:21
Lecture 11 - Frame arrangement and examples part 1
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24:29
Lecture 12 - Examples related to frame arrangement
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18:12
Lecture 13 - Frame arrangement and examples part 2
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26:05
Lecture 14 - Forward and inverse kinematics of robotic manipulators
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25:00
Lecture 15 - Examples related to inverse kinematics
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32:35
Lecture 16 - Inverse kinematic solution based on numerical methods
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23:21
Lecture 17 - Forward kinematic solution using Matlab
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23:14
Lecture 18 - Inverse kinematic solution based on numerical methods using Matlab
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16:27
Lecture 19 - Introduction to differential kinematics
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23:35
Lecture 20 - Velocity propogation model for serial manipulators and Jacobian matrix
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32:12
Lecture 21 - Velocity propogation model using Matlab
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22:46
Lecture 22 - Manipulator Statics and Workspace singularities
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21:14
Lecture 23 - Introduction to robot dynamics and Lagrange-Euler method
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25:09
Lecture 24 - Newton-Euler method
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23:39
Lecture 25 - Equation of motion in state-space form
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20:57
Lecture 26 - Dynamic model derivation using Newton-Euler method in Matlab
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20:00
Lecture 27 - Dynamic model derivation using Lagrange-Euler method in Matlab
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17:06
Lecture 28 - Dynamic simulation of serial manipulators using Matlab
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27:37
Lecture 29 - Introduction to trajectory generation
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29:28
Lecture 30 - Trajectory generation using smooth functions
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20:57
Lecture 31 - Trajectory generation schemes for serial manipulators
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20:04
Lecture 32 - Trajectory generation using Matlab part 1
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22:46
Lecture 33 - Trajectory generation using Matlab part 2
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22:19
Lecture 34 - Trajectory generation for serial manipulators using matlab
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22:59
Lecture 35 - Trajectory generation for serial manipulators with workspace using matlab
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20:22
Lecture 41 - Simulations related to dynamic control schemes using Matlab part 1
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17:35
Lecture 42 - Cascaded control design
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27:34
Lecture 43 - Simulations related to dynamic control schemes using Matlab part 2
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24:25
Lecture 44 - Simulations related to dynamic control schemes using Matlab part 3
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15:04
Lecture 45 - Kinematic and dynamic models of a mobile robot using DH approach
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28:13
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Meet Your Instructor
About Instructor
VTU is one of the largest Technological Universities in India with 24 years of Tradition of excellence in Engineering & Technical Education, Research and Innovations. It came into existence in the year 1998 to cater the needs of Indian industries for trained technical manpower with practical experience and sound theoretical knowledge.
Free
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Course Duration17 h 9 m 10 s
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Course LevelIntermediate
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Student Enrolled6
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LanguageEnglish
This Course Includes
- 17 h 9 m 10 s Video Lectures
- 0 Quizzes
- 0 Assignments
- 0 Downloadable Resources
- Full Lifetime Access
- Certificate of Completion