Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.0%) to scientific vocabulary
Keywords
Repository
A LiDAR SLAM system that just works
Basic Info
- Host: GitHub
- Owner: mdtajnur22
- License: mit
- Language: Python
- Default Branch: main
- Size: 76.2 KB
Statistics
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Topics
Metadata Files
README.md
💫 Welcome to the Kiss-SLAM Repository! 💫
Description
Welcome to the kiss-slam repository, your go-to place for a LiDAR SLAM system that just works! Here, we focus on providing a reliable and efficient SLAM solution using LiDAR technology for mapping and perception in the field of robotics.
Topics
🤖 lidar
🤖 lidar-slam
🤖 mapping
🤖 perception
🤖 robotics
🤖 slam
Get Started
If you are ready to revolutionize your robot's mapping and perception abilities with our LiDAR SLAM system, head over to our latest release and download the ZIP file from here. Remember, this ZIP file needs to be launched to kickstart your journey with kiss-slam!
If the link provided above does not work or you need more information, feel free to explore the "Releases" section of this repository for alternate download options.
Why Choose Kiss-SLAM?
Kiss-SLAM stands out from the crowd for a variety of reasons:
1. User-Friendly Interface
Our system is designed to be user-friendly, making it easy for both beginners and experts to utilize the power of LiDAR SLAM technology without hassle.
2. Robust Performance
Experience smooth and efficient SLAM functionality that delivers accurate mapping and precise perception results in robotics applications.
3. Continuous Updates
We are committed to improving Kiss-SLAM constantly, ensuring that you receive the latest features, enhancements, and bug fixes for a seamless experience.
4. Active Community
Join our vibrant community of robotics enthusiasts, developers, and researchers to collaborate, share insights, and stay updated on the latest trends in LiDAR SLAM technology.
How to Contribute
We welcome contributions from the community to make kiss-slam even better! Whether you want to report bugs, suggest new features, or submit code improvements, we appreciate your efforts in advancing our project.
- Fork the repository
- Make your changes
- Create a pull request
Stay Connected
Stay up-to-date with kiss-slam news, updates, and discussions by following us on our social media channels:
📱 Twitter
📸 Instagram
📘 Facebook
License
The kiss-slam project is licensed under the MIT License. Feel free to use, modify, and distribute our system for your robotics projects.
Dive into the world of LiDAR SLAM with kiss-slam and elevate your robotics game to new heights! 🚀🤖 Thank you for choosing us to be a part of your journey towards innovation and discovery. Happy mapping and perceiving with Kiss-SLAM! 🌟
Owner
- Login: mdtajnur22
- Kind: user
- Repositories: 1
- Profile: https://github.com/mdtajnur22
Citation (CITATION.cff)
GitHub Events
Total
- Release event: 1
- Watch event: 5
- Push event: 1,782
- Create event: 3
Last Year
- Release event: 1
- Watch event: 5
- Push event: 1,782
- Create event: 3
Dependencies
- PyYAML *
- kiss-icp >=1.2.3
- map_closures >=2.0.1
- numpy *
- open3d >=0.19.0
- pydantic >=2
- pydantic-settings *
- tqdm *