{"id":2272,"date":"2025-10-01T11:19:20","date_gmt":"2025-10-01T11:19:20","guid":{"rendered":"https:\/\/webroad-seisaku.com\/fujiko-test\/?page_id=2272"},"modified":"2026-05-11T07:38:05","modified_gmt":"2026-05-11T07:38:05","slug":"software","status":"publish","type":"page","link":"https:\/\/webroad-seisaku.com\/fujiko-test\/software","title":{"rendered":"Robotics Software"},"content":{"rendered":"\n
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\r\n ROBOTICS SOFTWARE<\/span>\r\n<\/div>\n\n\n\n
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Providing the Fastest Path<\/p>\n\n\n\n

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to Practical Deployment of Autonomous Mobile Robots<\/p>\n<\/div>\n<\/div>\n\n\n\n

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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.<\/p>\n\n\n\n

Contact Us<\/span><\/div><\/a><\/div>\n\n\n\n
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Navigation Stack Designed for Real-World Deployment<\/h2>\n\n\n\n

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\u2019s robotics software technologies, the stack can be flexibly integrated with customers\u2019 existing robots, vehicles, and various hardware systems.<\/p>\n\n\n\n

Through optimization tailored to specific use cases and operational environments, the stack smoothly supports the transition from PoC to production deployment. By leveraging Kudan\u2019s navigation stack, organizations can significantly reduce the lead time and risks associated with the development, implementation, and deployment of autonomous robots and vehicles.<\/p>\n<\/div>\n\n\n\n

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Ideal For These Challenges<\/h2>\n\n\n\n

For partners seeking rapid market deployment while leveraging existing systems<\/p>\n\n\n\n

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Bridging Knowledge Gaps<\/h3>\n\n\n\n

When internal expertise or know-how for outdoor or complex autonomous navigation is lacking<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Overcoming Development Bottlenecks<\/h3>\n\n\n\n

For software developers who have attempted robot development or PoCs in the past but struggled to achieve stable commercial deployment<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Risk Minimization<\/h3>\n\n\n\n

For projects aiming to minimize development cost, timeline, and failure risk by leveraging SLAM technologies for real-world operational complexity<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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FEATURES<\/strong><\/strong><\/strong><\/strong><\/p>\n\n\n\n

Key Features | Full-Stack Architecture for Real-World Operations<\/h2>\n\n\n\n
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Core capabilities designed to support stable operations, providing all essential functionalities.<\/p>\n\n\n\n

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Robust Localization & Mapping<\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n

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Path Planning & Obstacle Avoidance<\/strong><\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Semantic Segmentation<\/strong><\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n

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Task Planning & Replanning<\/strong><\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Multi-Sensor Fusion<\/strong><\/strong>
Camera \/ LiDAR \/ IMU \/ GNSS etc<\/mark><\/span><\/p>\n<\/div>\n<\/div>\n\n\n\n

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Multi-Platform Support<\/strong><\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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System Monitoring & Log Management<\/strong><\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n

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Validation Through Simulation Environments<\/strong><\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Technical Details<\/h4>\n\n\n\n

For detailed full-component specifications of each capability, please refer to the pages below<\/p>\n\n\n\n

\n \n \n Localization & Mapping<\/span>\n \n \n <\/svg>\n <\/a>\n \n \n \n Autonomous Navigation<\/span>\n \n \n <\/svg>\n <\/a>\n <\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
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Supported Platforms<\/h3>\n<\/div>\n\n\n\n
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ROS Version<\/strong><\/p>\n\n\n\n

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ROS 2<\/strong><\/p>\n<\/div>\n\n\n\n

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ARM<\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Supports Environments Previously Challenging for Conventional AMRs<\/h2>\n\n\n\n

Kudan\u2019s navigation stack enables operation in harsh and complex environments
that conventional AMRs previously struggled to handle.<\/p>\n\n\n\n

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Frequently changing and dynamic environments<\/strong><\/p>\n\n\n\n

Logistics warehouses with frequent layout changes and heavy movement of goods<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Mixed indoor\u2013outdoor environments<\/strong><\/p>\n\n\n\n

Areas where lighting and environments change continuously, such as transport routes between factories and outdoor yards<\/p>\n<\/div>\n\n\n\n

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Complex 3D structures and uneven terrain<\/strong><\/p>\n\n\n\n

Construction sites with slopes and elevation differences, and other outdoor environments<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Environments with many moving objects and people<\/strong><\/p>\n\n\n\n

Crowded environments such as shopping malls and station facilities<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Feature-sparse spaces<\/strong><\/p>\n\n\n\n

Long corridors and tunnels where similar scenery continues<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Large open indoor spaces<\/strong><\/p>\n\n\n\n

Large indoor environments such as gymnasiums and halls, where walls are far apart<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Use Cases and Implementation References<\/h2>\n\n\n\n
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AMR (Indoor \/ Outdoor)<\/strong><\/p>\n\n\n\n

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