Kinematics and Motion Control: Guiding Robotic Movement with Precision
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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
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