Providing the Fastest Path
to Practical Deployment of Autonomous Mobile Robots
Providing a comprehensive robot navigation stack designed for commercial deployment
for mobile robots and autonomous vehicles.
From PoC to real-world operations, enabling stable autonomous navigation across diverse environments.
Navigation Stack Designed for Real-World Deployment
Kudan provides a comprehensive robot navigation stack for mobile robots and autonomous vehicles, designed from the ground up for real-world deployment. In addition to Kudan’s robotics software technologies, the stack can be flexibly integrated with customers’ existing robots, vehicles, and various hardware systems.
Through optimization tailored to specific use cases and operational environments, the stack smoothly supports the transition from PoC to production deployment. By leveraging Kudan’s navigation stack, organizations can significantly reduce the lead time and risks associated with the development, implementation, and deployment of autonomous robots and vehicles.
Ideal For These Challenges
For partners seeking rapid market deployment while leveraging existing systems
FEATURES
Key Features | Full-Stack Architecture for Real-World Operations
Core capabilities designed to support stable operations, providing all essential functionalities.
Robust Localization & Mapping
Path Planning & Obstacle Avoidance
Semantic Segmentation
Task Planning & Replanning
Multi-Sensor Fusion
Camera / LiDAR / IMU / GNSS etc
Multi-Platform Support
System Monitoring & Log Management
Validation Through Simulation Environments
Technical Details
For detailed full-component specifications of each capability, please refer to the pages below
Supported Platforms
ROS Version
ROS 2
Humble
Jazzy
Architecture
x86
ARM
Supports Environments Previously Challenging for Conventional AMRs
Kudan’s navigation stack enables operation in harsh and complex environments
that conventional AMRs previously struggled to handle.
Frequently changing and dynamic environments
Logistics warehouses with frequent layout changes and heavy movement of goods
Mixed indoor–outdoor environments
Areas where lighting and environments change continuously, such as transport routes between factories and outdoor yards
Complex 3D structures and uneven terrain
Construction sites with slopes and elevation differences, and other outdoor environments
Environments with many moving objects and people
Crowded environments such as shopping malls and station facilities
Feature-sparse spaces
Long corridors and tunnels where similar scenery continues
Large open indoor spaces
Large indoor environments such as gymnasiums and halls, where walls are far apart
Use Cases and Implementation References
AMR (Indoor / Outdoor)
- China Autonomous AMR equipped with GNSS + 3D LiDAR for indoor/outdoor logistics warehouses and shopping malls (Yours Technologies)
- China Indoor/outdoor compatible 3D LiDAR-based robot (Whale Dynamic)
- United States GNSS + 3D LiDAR-equipped AMR for construction sites
Industrial Machinery / Mining / Forestry
- Japan Autonomous haul trucks and AMRs for indoor/outdoor environments in factories
- United States Autonomous driving for haul trucks in mining sites where GNSS is unstable
- Japan Autonomous tunneling and tunnel excavation machinery
AD / ADAS
- Europe Autonomous driving for dedicated lanes in logistics and industrial environments
- China High-precision map creation tool for autonomous driving
- Japan Visual SLAM for Automated Valet Parking (AVP) Localization
Localization
- Japan Autonomous driving and positioning assistance system for forklifts in logistics warehouses
- United Kingdom High-precision localization for construction machinery
Would you like to solve your autonomous navigation challenges?
既存環境への導入可否、PoCのご相談など、
まずはお気軽にお問い合わせください。