一种基于智能体架构的多模态机器人操控方法、系统及主控盒子
By employing a multimodal robot manipulation method based on an intelligent agent architecture, and utilizing local and cloud-based collaborative processing and multi-track streaming control, the bottlenecks in the interaction and control of robot systems in complex environments are resolved, achieving efficient and flexible hardware adaptation and cross-scenario generalization capabilities.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHENZHEN YUEWA INNOVATION TECHNOLOGY CO LTD
- Filing Date
- 2026-06-18
- Publication Date
- 2026-07-17
AI Technical Summary
Existing robot systems lack environmental adaptability in complex environments, struggle to achieve multimodal interaction and efficient control, face difficulties in hardware adaptation, have high development barriers, and exhibit poor task generalization capabilities.
Employing an intelligent agent architecture, it achieves millisecond-level cross-device collaboration through dynamic load distribution between local and cloud environments, processing low-latency tasks locally and streaming high-complexity tasks back to the cloud. Combined with a multi-track streaming control architecture and a timestamp synchronizer, it dynamically adjusts computing load and device control by utilizing a multimodal environment cognition base and capability abstraction protocol layer.
Significantly reduces end-to-end response latency, simplifies the integration of new hardware, enables continuous robot optimization and cross-scenario capability generalization, provides a highly robust intelligent base, and lowers the development threshold.
Smart Images
Figure CN122401460A_ABST