docs: enhance README with dataset details and tools

README.md

@@ -4,6 +4,33 @@ task_categories:
 - robotics
 ---
 
+![MCAP](https://mcap.dev/img/mcap720.webp) 
+
+# MCAP Robotics Dataset Collection
+
+This repository contains a comprehensive collection of robotics datasets converted to the MCAP format, specifically designed for SLAM (Simultaneous Localization and Mapping) and multi-modal sensor fusion research.
+
+## Dataset Overview
+
+Our collection includes two major robotics datasets:
+
+### 🚀 [FAST-LIVO Dataset](./FAST-LIVO/)
+- **Focus**: LiDAR-Inertial-Visual Odometry systems
+- **Scenarios**: University campus, LiDAR degenerate cases, visual challenges
+- **Applications**: Algorithm robustness testing, multi-modal fusion
+
+### 🌈 [R3LIVE Dataset](./R3LIVE/)
+- **Focus**: Real-time Radiance Reconstruction and RGB-colored mapping
+- **Scenarios**: HKU campus sequences, indoor buildings, outdoor environments  
+- **Applications**: Photorealistic 3D reconstruction, real-time dense mapping
+
+## Key Features
+
+- **Standardized Format**: All datasets converted to MCAP for consistent processing
+- **Multi-modal Data**: Synchronized LiDAR, IMU, and camera measurements
+- **Diverse Scenarios**: Indoor, outdoor, and challenging environmental conditions
+- **Research Ready**: Optimized for SLAM algorithm development and evaluation
+
 ## File Format
 
 - **`.mcap`**: Main data files containing synchronized sensor measurements (LiDAR, IMU, camera data)
@@ -11,4 +38,34 @@ task_categories:
 
 ## Usage
 
-These MCAP files can be processed using standard robotics tools and libraries that support the MCAP format for multi-modal sensor data analysis and SLAM algorithm evaluation.
+These MCAP files can be processed using standard robotics tools and libraries that support the MCAP format for multi-modal sensor data analysis and SLAM algorithm evaluation.
+
+### Recommended Tools
+- [ros2mcap](https://github.com/DapengFeng/ros2mcap) - ROS 1 MCAP support
+- [MCAP CLI](https://mcap.dev/docs/cli) - Command-line tools for MCAP manipulation
+- [Foxglove Studio](https://foxglove.dev/) - Visualization and analysis platform
+- [ROS 2](https://docs.ros.org/en/humble/Concepts/About-ROS-Interfaces.html) - Robot Operating System with MCAP support
+
+## Getting Started
+
+1. **Browse datasets**: Explore individual dataset folders for specific scenarios
+2. **Read metadata**: Check `metadata.yaml` files for sensor specifications
+3. **Load MCAP files**: Use your preferred robotics framework or MCAP tools
+4. **Analyze data**: Process synchronized sensor streams for your research
+
+## Applications
+
+This dataset collection is ideal for:
+- SLAM algorithm development and benchmarking
+- Multi-sensor fusion research
+- Real-time mapping and localization studies
+- Sensor calibration and synchronization validation
+- Computer vision and robotics education
+
+## License
+
+This dataset collection is licensed under **CC-BY-NC-4.0** (Creative Commons Attribution-NonCommercial 4.0 International). This means you can use, share, and adapt the material for non-commercial purposes with proper attribution.
+
+## Contributing
+
+We welcome contributions of additional datasets or improvements to existing ones. Please ensure all data follows our MCAP formatting standards and includes appropriate metadata.