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Control Engineering for Robotics

Engineering Academy

Engineering Academy

Learn Without Limits: Free Engineering Courses

Rating 4 (6)
Course typeWatch to learn anytime
Duration 303 Min
Start Access anytime
Language English
Views57

FREE

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Control Engineering for Robotics

Why enroll

This course helps you apply control theory to real robotic systems in a simple way.
It builds strong practical skills in controller design used in industry and research.
Ideal for students interested in robotics, automation, and control engineering.

Opportunities that awaits you!

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Course content

The course is readily available, allowing learners to start and complete it at their own pace.

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Control Engineering for Robotics

15 Lectures

303 min

  • Control Engineering for Robotics [Intro video]

    Preview icon

    Preview

    3 min

  • Signals and Systems

    16 min

  • Types of Systems

    25 min

  • Differential equation of a system

    12 min

  • Differential equation of an LTI system

    27 min

  • Laplace Transform

    12 min

  • Finding response using transfer function

    24 min

  • Finding Transfer Functions - Examples

    13 min

  • Finding Transfer Functions - Experimentally

    23 min

  • Natural Response of a system

    31 min

  • Forced Response of a system

    21 min

  • Introduction to Bode Plots

    34 min

  • Bode Plots Continued

    23 min

  • Finding Transfer Function from Frequency

    24 min

  • Configuration of a control system

    15 min

Course details

This course provides a practical introduction to classical and modern control theory with a strong focus on robotics applications. It emphasizes learning through design and application rather than only mathematical theory. Students will learn how to model dynamic systems commonly used in robotic platforms and understand key classical control concepts such as system response and stability. The course guides learners in designing and tuning P, PI, and PID controllers for real-world systems. In the modern control section, students are introduced to state-space modeling of dynamic systems along with important concepts such as controllability and observability. The course also covers controller design using pole placement techniques and introduces optimal control using the Linear Quadratic Regulator (LQR). By the end of the course, learners will be able to design effective controllers for robotic and other dynamic systems.

Source:
NPTEL IIT Guwahati [Youtube Channel]

Course suitable for

  • Automotive
  • Electrical
  • Engineering & Design
  • Project Management
  • Research & Developmnet

Key topics covered

  • Control Engineering for Robotics – Intro Video

  • Signals and Systems

  • Types of Systems

  • Differential Equation of a System

  • Differential Equation of an LTI System

  • Laplace Transform

  • Finding Response Using Transfer Function

  • Finding Transfer Functions – Examples

  • Finding Transfer Functions – Experimentally

  • Natural Response of a System

  • Forced Response of a System

  • Introduction to Bode Plots

  • Bode Plots – Continued

  • Finding Transfer Function from Frequency Response

  • Configuration of a Control System

FREE

Access anytime