ros_robotics_projects/chapter_1_codes/README.txt at c54452f727242a11ec4a07b9dcd1fb12d3bb37ce · qboticslabs/ros_robotics_projects · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
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