Technology Introduction:
This intelligent assistive robotic arm, mounted on an electric wheelchair, integrates multimodal AI—speech recognition, LLM-based semantic analysis, image recognition, and grasping point prediction. It understands natural language commands to pick up convenience store items like rice balls and drinks. Running all models locally ensures low latency and high privacy. The system supports scenario-specific fine-tuning, making it adaptable for use in healthcare, industry, and other environments.
Industry Applicability:
This technology holds strong industrial application potential and is suitable for fields such as smart healthcare, assistive medical devices, retail services, smart manufacturing, and logistics. It enables individuals with mobility impairments to retrieve objects independently, enhancing daily autonomy. It can also be deployed in factories for human-robot collaboration, object recognition, and automated grasping, effectively improving operational efficiency, reducing labor costs, and ensuring operator safety.