r/RoboIndia

Hey everyone, wanted to share my project on semantic navigation where a robot can explore a simulated living room, remember what it has seen, and later navigate using natural-language object goals instead of coordinates.

For example, after exploration, you can ask it something like:

>

The system retrieves a remembered viewing pose for the object and sends a deterministic Nav2 goal.

Stack used:

• ROS 2 Humble
• Nav2
• SLAM Toolbox
• Ignition Gazebo Fortress
• rosbridge / ROS-MCP
• SQLite + JSON semantic memory
• RGB camera, LiDAR, IMU, odometry in simulation

The idea was to move beyond “go to x, y” navigation and test a more semantic workflow:

1. Robot explores the room
2. Camera observer stores object captures
3. Semantic memory keeps object labels and poses
4. User asks for an object in natural language
5. Robot navigates near the remembered object location using Nav2

It’s still a simulation demo, but I think this kind of object-based navigation is a useful bridge between classical robotics stacks and newer language/vision-based interfaces.

Video demo/tutorial:
https://youtu.be/Cj4dYQ7BuUw

Code:
https://github.com/itsbharatj/demos-ros-mcp-server/tree/example_10_semantic_navigation/10_semantic_navigation

Would love feedback from people working on robot navigation, semantic mapping, or VLM/LLM-based robotics systems. I’m especially curious about better ways to represent the semantic memory and make the object-goal selection more robust.

Will start Btech this year from a tier 3.
I have a interest in programming. And really confused whether to pursue career in Robotics/physical AI. Is there a good job market of it India.

selfmade robot project he can drive now lidar + ultraschall