Final Capstone Project: AI for Robotics & Control Systems

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Course Modules:

Module 1: Capstone Scope & Planning

Define your project: robotic task, environment, and objectives

Choose your system type: mobile robot, manipulator, drone, etc.

Outline hardware/software stack, tools, and learning goals

Module 2: System Architecture Design

Integrate components: perception, planning, control, learning

Choose appropriate AI models and control strategies

Design for real-time, simulation, or embedded execution

Module 3: Simulation, Testing, and Control Integration

Simulate your robot using Gazebo, Webots, or PyBullet

Integrate motion control (PID, trajectory planning, kinematics)

Test sensor fusion, localization, and environment interaction

Module 4: Intelligence & Adaptation

Implement learning component (e.g., RL for control or planning)

Add decision logic (FSM, behavior tree, policy network)

Handle dynamic environments or interactive tasks

Module 5: Deployment or Demonstration

Run a full simulation with logging, monitoring, and evaluation

(Optional) Deploy on real hardware (Raspberry Pi, Arduino, Jetson)

Prepare final report, code, and video walkthrough

Module 6: Final Submission & Evaluation

Submit GitHub repo with complete code and instructions

Upload simulation/demo video and final project summary

Peer-review 1–2 other capstone projects for feedback and learning

Tools & Technologies Used:

Python

ROS (Robot Operating System)

Gazebo / Webots / PyBullet

TensorFlow / PyTorch (for ML components)

Arduino, Jetson Nano, or Raspberry Pi (for optional hardware deployment)

Target Audience:

Learners completing the Master Study AI for Robotics & Control track

Students preparing robotics or automation portfolios

Engineers building intelligent embedded systems

Innovators ready to prototype real-world AI applications

Global Learning Benefits:

Showcase your skills in a real-world robotics AI challenge

Master integration of perception, planning, control, and learning

Build a strong, portfolio-ready project with real impact

Prepare for industry roles in autonomous systems, robotics R&D, and AI innovation

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