Core technology

With spatial intelligence at its core, we have established a full-stack robotics technology system covering "perception-cognition-decision-interaction": achieving centimeter-level spatial modeling based on multi-modal sensor fusion (laser/vision/IMU), completing scene object recognition and spatial understanding through deep learning and semantic segmentation, realizing safe spatial interaction by integrating dynamic path planning and adaptive obstacle avoidance, and endowing robots with ontology intelligence for autonomous task decomposition and real-time optimization through edge computing and cloud collaboration.

We've achieved full-process automation from scene and equipment modeling to business applications, enabling efficient collaboration at lower costs and solving spatial and equipment management challenges.

• Fully automated modeling eliminates the need for manual debugging. It supports professional mapping equipment and robots to collect data, generating Gaussian/point cloud maps.

• An integrated toolchain is provided to transform models from "functional" to "user-friendly".

• It serves multi-scenario businesses, catering to both robotics and user applications simultaneously.

• "Brain-like" retrieval combined with multi-sensor fusion positioning ensures stable operation in complex scenarios, enabling robots to always have positioning upon startup.

• BEV (Bird's Eye View) global semantics integrated with elevation terrain modeling constructs strong perception capabilities, adapting to all scenarios.

We enable robots to "autonomously move, naturally interact, and precisely work" in complex real-world environments, truly replacing manual labor and improving efficiency.

• Autonomous navigation: Supports independent route planning, precise obstacle type perception, and autonomous obstacle avoidance and detour.

• Environmental interaction: Deeply integrates with environmental facilities, smoothly passing through doors and elevators, and accurately docking with charging piles.

• Environmental interaction: Deeply integrates with environmental facilities, smoothly passing through doors and elevators, and accurately docking with charging piles.

• Precise operation: Achieves precise capture of task targets and object coordinate positioning, supporting facial recognition and meter reading.

The wheeled motion architecture of the robot ensures safer and more reliable movement, with high energy efficiency and low maintenance costs.

• Battery Life: It supports stable operation for over 8 hours and enables autonomous charging.

• Computing Power: The system is embedded with AI algorithms to support real-time video analysis.

• Control Method: The Robot Control System (RCS) realizes comprehensive management and control of the robot.

• Data Value: From replacing manual data collection to mining data to become a maintenance expert.

• Human-Computer Interaction: Plug-and-play with low threshold and fast response.

• Open Ecosystem: Diverse operation methods and various forms of robots.