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 No codes for Chapter 1
+
+🟢 Beginner Projects
+1. TurtleBot3 Navigation
+Description: Use ROS navigation stack to move TurtleBot3 around a mapped environment.
+
+Tools: TurtleBot3, SLAM, RViz, Navigation Stack
+
+Skills: Path planning, obstacle avoidance, map generation
+
+2. ROS + Gazebo Simulation
+Description: Simulate a robot in Gazebo and control it using ROS topics/services.
+
+Tools: ROS Noetic, Gazebo, RViz
+
+Skills: URDF, TF, launch files
+
+3. Line Follower Robot
+Description: Use camera or IR sensors to follow a black line on the ground.
+
+Tools: OpenCV, Raspberry Pi, differential drive robot
+
+Skills: ROS topics, image processing
+
+🟡 Intermediate Projects
+4. Voice-Controlled Robot
+Description: Integrate voice commands using speech recognition to control robot actions.
+
+Tools: Google Speech API or PocketSphinx
+
+Skills: ROS nodes, audio processing, Python/C++
+
+5. ROS Arm Control
+Description: Control a robotic arm using inverse kinematics with MoveIt.
+
+Tools: MoveIt!, URDF, joint_state_publisher
+
+Skills: Motion planning, kinematics, trajectory control
+
+6. Autonomous Delivery Robot
+Description: A robot that picks up and drops off items based on mapped waypoints.
+
+Tools: Navigation Stack, RViz, Gazebo or real hardware
+
+Skills: Waypoint navigation, task planning
+
+🔴 Advanced Projects
+7. Multi-Robot Coordination
+Description: Two or more robots sharing map data and coordinating tasks.
+
+Tools: ROS multi-master or ROS 2 DDS, tf2, SLAM
+
+Skills: Distributed systems, inter-robot communication
+
+8. ROS-based Drone (UAV) Control
+Description: Build or simulate a drone that can autonomously fly and avoid obstacles.
+
+Tools: PX4, MAVROS, Gazebo, RViz
+
+Skills: Flight control, sensor integration, 3D path planning
+
+9. Human Following Robot
+Description: A robot that uses vision or LiDAR to follow a person.
+
+Tools: OpenCV, YOLO/Deep Learning, LiDAR
+
+Skills: Object detection, sensor fusion, real-time tracking
+
+10. SLAM + Object Detection
+Description: Build a robot that maps the environment while identifying and labeling objects.
+
+Tools: SLAM toolbox, YOLO, Depth cameras (e.g., RealSense)
+
+Skills: Sensor fusion, deep learning, map annotation
+
+🛠 Tools & Frameworks to Explore
+RViz / Gazebo: Visualization and simulation
+
+MoveIt!: Arm manipulation
+
+OpenCV: Vision processing
+
+ROS2: Newer version of ROS for real-time and multi-robot systems
+
+Docker: For deploying ROS in isolated environments
+
+