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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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