Robot

Under a National Key Research and Development Program, the laboratory developed a domestic robotic operating system. Key tasks included the design of path planning, motion control, and motion planning components for six commonly used industrial robots.

The AI Vision Cleaning Robot is an intelligent device focused on efficient cleaning, primarily targeting photovoltaic power stations and industrial cleaning scenarios. Through its AI vision system, the robot precisely identifies cleaning targets, utilizing waterless cleaning technology and modular design to significantly improve cleaning efficiency, extend equipment life, and reduce cleaning costs.

The AI Vision Inspection Robot is a highly efficient intelligent inspection system focused on 3D dimensional measurement and surface defect detection. Through AI technology, the robot achieves precise automatic recognition and classification, particularly suitable for quality control needs in metal processing, welding, and production lines. Its modular design allows for adjustment of working modes according to different inspection targets.

This self-funded project involved the dynamical modeling, testing, and optimization of AUVs. Key objectives included multi-source information fusion for diverse underwater applications and the development of underwater communication technologies for cross-medium air-sea collaborative systems.

Funded by the National High Technology Research and Development Program, this project focused on developing motion and trajectory planning software for dual-arm welding robots in complex gantry environments. The goal was to accumulate in dual-arm welding technology, specifically for large shipyards.

The Rail-mounted AI Inspection Robot System is an intelligent inspection solution designed for enclosed track environments. The system employs visible light monitoring, infrared thermal imaging, and AI algorithms to achieve comprehensive real-time monitoring of equipment status, helping users quickly identify and address potential risks. The robot supports multiple inspection modes including automatic, self-check, and manual operations, utilizing 5G communication for remote data transmission, providing security assurance for complex industrial environments.

The lab’s self-funded project aimed to enhance robot-environment interaction by developing hardware platforms and control algorithms for rigid-soft hybrid robots. An input mapping module was introduced in the visual servoing system to mitigate disturbances and improve response speed.

The Wheeled AI Inspection Robot System, designed for open and complex industrial environments, is based on precise positioning and navigation algorithms and advanced visual AI recognition technology. The robot is equipped with voice interaction, intelligent obstacle avoidance, and data collection modules, capable of flexibly handling various inspection tasks while automatically generating inspection reports, significantly improving industrial inspection efficiency and safety.