robot

DLIM-DT01B Digital twin technology application platform Using digital twin technology application platform, a virtual simulation system with actual interactive function is created according to the requirements. The simulation system can realize the physical performance, mechanical structure and action function consistent with the actual environment. It can make the mechanical design and electrical design develop in parallel on the simulation system, and eliminate the gap period in the traditional development process. The simulation system is not only a simple animation scene, but also can interact with the actual control equipment, receive control instructions and feedback signals from sensors, etc. during the simulation process, it can timely discover various problems in the operation of the equipment under program control and carry out optimization, so as to improve the design efficiency and reduce the cost and risk. In response to the above situation, the State Council issued notice on Issuing the plan for the implementation of the national vocational education reform (Guo Fa [2019] 4), pointing out that we should adapt to the development demand of "Internet plus occupation education", improve the teaching methods and methods with modern information technology, and promote the construction and application of virtual learning network occupation space, and complement and expand the offline practical training teaching activities.

DLAI‑MPD01 Embodied Intelligent Robot Technology Application System integrates multimodal perception, AI decision‑making & precise motion control. It enables autonomous operation, adaptive interaction & human‑robot collaboration in smart manufacturing, education & research. High stability, easy deployment & full‑scenario adaptability boost efficiency, reduce costs & upgrade intelligent applications.

DLDS-1190 Robotics System Integration Platform integrates robot operation, programming, vision detection and intelligent control. It supports modular assembly, real-time debugging and multi-scenario simulation training. Stable, user-friendly and highly expandable, it is ideal for vocational education, engineering labs and automation training to improve practical skills efficiently.

DLIR-523T is a professional training & assessment platform for industrial robot system operators. It combines theoretical learning, simulated operation and practical assessment to standardize training processes and improve skill levels. With user-friendly interface, stable performance and comprehensive functions, it is widely used in schools, enterprises and training institutions, helping cultivate qualified technical talents for industrial automation.

DLIR-357F Industrial Robot Digital Technology Platform integrates intelligent control, data monitoring, fault diagnosis and collaborative management. It features high compatibility, stable performance and easy deployment, realizing unified scheduling and digital management of industrial robots. Effectively improving production efficiency, reducing operation cost and providing strong support for intelligent manufacturing and factory digital upgrading.

DLDS-1190 Robot System Integration Platform supports modular design, multi-robot collaboration & unified device management. It simplifies deployment, configuration & debugging for industrial automation lines, with strong compatibility, high stability & easy operation. The platform optimizes production efficiency, reduces integration costs and builds flexible, intelligent manufacturing systems for smart factories.

DLHR-D2-Max Humanoid Robot features flexible biped motion, precise servo control and powerful AI interaction. It supports gesture recognition, autonomous programming, motion planning and secondary development. Stable, highly expandable and user-friendly, it is ideal for robotics research, university labs and intelligent education to cultivate advanced AI and robot talents.

DLHR-L2-MAX Wheeled-Legged Embodied AI Robot combines wheeled mobility and legged flexibility for strong terrain adaptability. It supports autonomous navigation, AI perception, motion control and algorithm development. With stable performance and open expandable interfaces, it is ideal for AI research, university labs and advanced robotics training.