The "ROSO AI On-site Construction Robot" integrates a robotic arm, an AMR, AI vision recognition, and multi-sensor technologies to create an intelligent construction system with autonomous navigation, spatial localization, scene recognition, and human-robot collaboration capabilities. The system enables real-time obstacle avoidance and automated operations in complex construction environments, improving construction efficiency, quality consistency, and smart construction applications.

This technology overcomes the limitations of conventional robots and AMR systems restricted to fixed paths and controlled environments, enabling autonomous operation in dynamic and unpredictable construction sites. By integrating AI vision, SLAM, multi-sensor fusion, and semantic understanding, the system enables spatial perception, autonomous navigation, dynamic obstacle avoidance, and human-robot collaboration, advancing construction robotics toward autonomous construction.

This technology is applied to labor-intensive and repetitive indoor construction tasks. Through AI on-site construction robots, it improves efficiency while reducing safety risks and labor burdens. Real construction sites also serve as training environments for robots to accumulate real-world data and human-robot collaboration experience, strengthening spatial perception, autonomous decision-making, and motion control capabilities for future Physical AI and autonomous construction applications.