By integrating lidar, millimeter-wave radar, high-definition cameras, and inertial measurement units, the system enables all-weather, all-scenario 3D dynamic modeling and obstacle recognition. It maintains stable perception even in extreme environments such as high noise, rain, fog, and dust, providing highly robust data support for precise operations.

Key highlights:

• High environmental robustness

• High accuracy in real-time point cloud reconstruction

• Supports long-range identification and dynamic tracking

Based on a 5G+WiFi6 communication architecture and a self-developed signal enhancement algorithm, the system enables remote group control, job scheduling, and closed-loop equipment management. It boasts millisecond-level latency response capabilities, ensuring stable communication and precise execution under multi-machine collaboration.

Key highlights:

• Seamless network switching

• Real-time visual monitoring and cloud-based diagnostics

• Group control task execution stability improved by 200%+

Based on embodied intelligence architecture and Neural Radiance Field (NeRF) algorithm, the system can dynamically model and predict trajectories for complex terrain, moving obstacles and construction sites, and generate optimal path planning and operation strategies in real time.

Key highlights:

• Supports multi-machine task allocation and path coordination

• Integrating spatiotemporal prediction models to improve operational accuracy

• Intelligent autonomous avoidance, loading, and unloading throughout the entire process

Shangliwei Technology has achieved an end-to-end embodied intelligent control system through a three-layer closed loop of "perception-decision-execution", which is suitable for high-dynamic scenarios such as airports, mines, and roads and bridges, and has truly achieved a technological breakthrough from single-machine intelligence to collective intelligent collaboration.