Application scenarios
Through data generalization, model training and development functions, the embodied intelligence development platform can empower robots to realize autonomous perception, decision-making and execution in complex environments. Its core application scenarios cover many fields:
Industrial manufacturing
Provide strategies for different environments of industrial manufacturing:
Through the synthetic data generation technology of virtual-real fusion, the generalization ability of material sorting tasks is improved on the industrial pipeline. For example, the robot can parse voice commands to complete the sorting, and combine the diversified data generated by the simulation environment to improve the success rate of model execution.
Through AI models, equipment regulations can be predicted in advance to reduce downtime. Synthetic data generation nearly simulates the aging process of equipment, and templates are trained to identify early abnormal signals.
Healthcare
Surgical assistance and remote coordination: Based on NVIDIA Isaac, through digital twin technology, the surgical robot is trained in a virtual environment to complete subtasks such as suturing and cutting, and then transferred to the real scene.
Education and scientific research: innovative experiments and skills training
Through DeepSeek big model and 3D vision technology, students train the robot arm to complete the industrial sorting task in the virtual environment, and master the whole process ability from algorithm development to engineering landing.
Home Services
Home service robots are equipped with dexterity hands that can assist with household activities such as cleaning, cooking, laundry, and taking care of small classes of verbal commands. Children or the elderly. Also able to handle more complex tasks, such as repairing small objects or watering plants.