NavGround
0
NavGround is an open-source 2D navigation framework designed to empower differential drive robots with real-time AI-based motion planning and collision avoidance. It leverages velocity obstacle algorithms, dynamic models, and sensor data to generate safe trajectories in dynamic environments. With lightweight C++ implementation and ROS integration, developers can quickly deploy reactive navigation capabilities on mobile platforms, ensuring smooth, efficient, and safe robotic operations.
Virtual & Augmented Reality
Image Generation
Avatars & Personas
AI Platforms & Frameworks
#AI navigation
#robot motion planning
#collision avoidance
#sensor fusion
#real-time navigation
#modular robotics
#dynamic mapping
#path planning
#autonomous robots
# ROS compatible
#trajectory generation
#robot dynamics
#data-driven navigation
#service robotics
#lightweight APIs
#open source robotics
#customizable navigation
#adaptive robots
#velocity obstacles
#research prototypes
...
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NavGround is an open-source 2D navigation framework designed to empower differential drive robots with real-time AI-based motion planning and collision avoidance. It leverages velocity obstacle algorithms, dynamic models, and sensor data to generate safe trajectories in dynamic environments. With lightweight C++ implementation and ROS integration, developers can quickly deploy reactive navigation capabilities on mobile platforms, ensuring smooth, efficient, and safe robotic operations.
Virtual & Augmented Reality
Image Generation
Avatars & Personas
AI Platforms & Frameworks
#AI navigation
#robot motion planning
#collision avoidance
#sensor fusion
#real-time navigation
#modular robotics
#dynamic mapping
#path planning
#autonomous robots
# ROS compatible
#trajectory generation
#robot dynamics
#data-driven navigation
#service robotics
#lightweight APIs
#open source robotics
#customizable navigation
#adaptive robots
#velocity obstacles
#research prototypes
...
Featured
What is NavGround?
NavGround is a comprehensive AI-driven navigation framework that delivers reactive motion planning, obstacle avoidance, and trajectory generation for differential drive and holonomic robots in 2D environments. It integrates dynamic map representations and sensor fusion to detect static and moving obstacles, applying velocity obstacle methods to compute collision-free velocities adhering to robot kinematics and dynamics. The lightweight C++ library offers a modular API with ROS support, enabling seamless integration with SLAM systems, path planners, and control loops. NavGround’s real-time performance and on-the-fly adaptability make it suitable for service robots, autonomous vehicles, and research prototypes operating in cluttered or dynamic scenarios. The framework’s customizable cost functions and extensible architecture facilitate rapid experimentation and optimization of navigation behaviors.
Who will use NavGround?
- Robotics developers
- Research institutions
- Academic researchers
- Robotics startups
- Autonomous mobile platform integrators
How to use the NavGround?
- Step1: Clone the NavGround repository from GitHub.
- Step2: Build the C++ library using CMake.
- Step3: Integrate NavGround into your ROS workspace and launch the navigation node.
- Step4: Configure robot and environment parameters in the provided YAML files.
- Step5: Feed sensor data (e.g., LiDAR, odometry) to the navigation node.
- Step6: Monitor real-time trajectory outputs and adjust cost functions as needed.
- Step7: Deploy on physical or simulated robots and validate navigation performance.
Platform
- mac
- windows
- linux
NavGround's Core Features & Benefits
The Pros
Open-source with active development and community support
Specialized for real-time multi-agent navigation and motion planning
Suitable for complex, dynamic environments, enhancing robot autonomy
Supports simulation and control which aids in research and practical deployments
The Cons
Primarily focused on robotics domain, may not suit non-robotic AI applications
Documentation might require prior knowledge of robotics and AI
No direct pricing or commercial support information available
| Has free plan | No |
|---|---|
| Free trial details | |
| Pricing model | |
| Is credit card required | No |
| Paid from | |
| Has lifetime plan | No |
| Billing frequency |
Analytic of NavGround
Visit Over Time
Monthly Visits
1.1k
Avg Visit Duration
00:00:00
Page Per Visit
1.06
Bounce Rate
42.68%
Sep 2025 - Nov 2025 All Traffic
Geography
Top 4 Regions
Indonesia
54.2%
Italy
21.71%
Turkey
21.29%
India
2.79%
Sep 2025 - Nov 2025 Worldwide Desktop Only
Traffic Sources
Search
46.17%
Direct
32.38%
Referrals
13.74%
Social
4.73%
Paid Referrals
1.76%
Mail
0.23%
Sep 2025 - Nov 2025 Desktop Only
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