Robotics, Kinematics, Trajectory planning and Path Planning
Description
Are you ready to bring robots to life using the power of Python?
“Robotics with Python – Think, Code and Move!” is a hands-on course designed to teach you the core principles of robotics and how to implement them through Python programming. Whether you’re an engineering student, a hobbyist, or a curious programmer, this course takes you on a practical journey from basic concepts to building and controlling real or simulated robots.
You’ll begin by learning spatial transformations, kinematics, and robot motion control, then apply those concepts through Python-based simulations and projects. We’ll guide you step-by-step through topics such as forward and inverse kinematics, trajectory planning, sensor integration, and control strategies—all using code.
The course emphasizes experiential learning with real-world examples, coding exercises, and project-based challenges to reinforce your understanding. You’ll also explore concepts in mobile robotics, wheeled robot navigation, path following, and SLAM (Simultaneous Localization and Mapping), all through accessible Python libraries. Whether you’re using simulation tools like PyBullet, V-REP, or ROS-based environments, the focus remains on blending theory with practical implementation.
By the end of the course, you’ll not only understand how robots move, but you’ll also be equipped to code and build your own robotic systems with confidence and creativity.
| Total Students | 33 |
|---|---|
| Duration | 1.5 hours |
| Language | English (US) |
| Number of lectures | 10 |
| Number of quizzes | 0 |
| Total Reviews | 0 |
| Global Rating | 0 |
| Instructor Name | Anitha Kumari Sivathanu |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
78% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 1.5 hours
- Practical value: 5/10
Roadmap Fit
- Beginner → → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
Clear explanations and helpful examples.
Watch-outs
No consistent issues reported.
Difficulty
Best suited for
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