40m ranging radius, ready to use on power-up, high-quality mapping for large-scale environments
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A commercial solution providing localization and mapping capabilities, enabling environmental modeling and autonomous positioning for robots
Learn MoreThe SLAM spatial localization and mapping solutions are designed for applications that require rapid acquisition of environmental information and efficient map generation. They are commonly used during the development and deployment phases of robotic systems, supporting fast indoor mapping, path planning validation, and navigation performance evaluation. These capabilities help teams shorten debugging cycles and accelerate early-stage development.
In practical projects, such solutions are also suitable for environment modeling and map maintenance in service robots, AGVs, and related mobile robots. They support continuous and stable spatial data acquisition in environments such as office buildings, warehouses, and campuses. Mapper is typically used as a data collection and visualization tool, while SLAMKit is more suitable for integration into existing systems, operating as a long-term localization and mapping component.
By combining software and hardware components, these solutions can support different stages ranging from prototype validation to large-scale deployment. They provide a reliable foundation for robotic and intelligent systems that require stable spatial perception, localization, and navigation capabilities.
SLAMKit is an embedded SLAM software solution that runs on the user's main control platform, providing mapping, localization, and map management capabilities for robots.
SLAMKit provides development tools and interfaces including C++, Java, ROS, and Restful API, facilitating integration into existing robot control frameworks or autonomous systems. It can also be managed through RoboStudio.
SLAMKit is a software solution, and its performance primarily depends on the specifications of the selected LiDAR and the computing capability of the platform. Differences in LiDAR range, scan frequency, and accuracy affect mapping scale and localization stability, and the specific outcome should be evaluated based on the actual configuration and application scenario.
Yes. Mapper functions properly in handheld mapping scenarios with inclines or uneven terrain, maintaining high-quality mapping and supporting movement speeds up to 2 m/s.
Yes. In addition to mapping and localization functions, Mapper can also serve as a 2D LiDAR sensor, allowing LiDAR data to be quickly integrated into existing systems via SDK or ROS nodes.
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