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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