Kinematics and Motion Control: Guiding Robotic Movement with Precision
web-development.
Table of Contents
- 1. Course Modules:
- 2. Module 1: Introduction to Kinematics in Robotics
- 3. Module 2: Forward Kinematics
- 4. Module 3: Inverse Kinematics
- 5. Module 4: Motion Control Basics
- 6. Module 5: Trajectory Generation and Execution
- 7. Module 6: Capstone Project – Control a Robotic Arm in Simulation
- 8. Tools & Technologies Used:
- 9. Target Audience:
- 10. Global Learning Benefits:
Course Modules:
Module 1: Introduction to Kinematics in Robotics
What is kinematics and why it matters in robotics
Difference between kinematics and dynamics
Coordinate frames, reference systems, and robotic DOFs (degrees of freedom)
Module 2: Forward Kinematics
Understanding joint configurations and calculating end-effector positions
Transformation matrices and Denavit–Hartenberg (DH) parameters
Applying forward kinematics to robotic arms and manipulators
Module 3: Inverse Kinematics
Computing joint angles from desired positions
Analytical vs. numerical IK methods
Handling multiple solutions, singularities, and joint constraints
Module 4: Motion Control Basics
Position, velocity, and acceleration control
PID control for joint-level and end-effector motion
Real-time response and controller tuning
Module 5: Trajectory Generation and Execution
Planning time-based and space-based trajectories
Cubic splines, trapezoidal velocity profiles
Integrating kinematics and trajectory into motion pipelines
Module 6: Capstone Project – Control a Robotic Arm in Simulation
Simulate a 2D or 3D robotic arm (using Python, Webots, or ROS)
Implement FK and IK solvers
Plan and execute a smooth motion path to complete a defined task
Tools & Technologies Used:
Python (NumPy, Matplotlib for plotting trajectories)
ROS / RViz / Webots (for simulation)
SymPy (for symbolic math and transformation matrices)
Optional: MATLAB/Simulink for modeling and analysis
Target Audience:
Robotics students and control system engineers
Developers building robotic arms and manipulators
AI learners applying ML to physical movement
Researchers and automation engineers
Global Learning Benefits:
Gain precision control of robotic movement
Understand how robots map inputs to real-world positions
Build motion pipelines for arms, mobile platforms, or drone systems
Prepare for advanced robotics, industrial automation, or mechatronics roles
?Master Study NLP Fundamentals: The Foundation of Language Understanding in AI
?Shop our library of over one million titles and learn anytime
?? Learn with our expert tutors
Read Also About Simulation and Testing in Robotics: From Virtual Prototypes to Real-World Readiness
