基于多模态感知的等离子机器人自适应路径规划系统
By using a multimodal perception-based adaptive path planning system for plasma robots, combined with multimodal data fusion and AR environment modeling, the problems of inaccurate path planning and low adaptive efficiency are solved, and high-precision adaptive path planning for robots in complex environments is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SUZHOU VOCATIONAL UNIVERSITY (SUZHOU OPEN UNIVERSITY)
- Filing Date
- 2025-10-30
- Publication Date
- 2026-07-17
AI Technical Summary
Existing plasma robots cannot perform fusion compensation based on multimodal data, resulting in inaccurate path planning. Furthermore, they cannot monitor moving scenes through AR modeling, leading to a decrease in the efficiency of adaptive path planning.
An adaptive path planning system for plasma robots based on multimodal perception is adopted, including a multimodal fusion analysis unit, an AR environment modeling unit, and a sensor detection unit. Through data fusion, environment modeling, and sensor detection, the system enables adaptive adjustment and monitoring of the path.
It improves the accuracy and adaptability of path planning, reduces the risk of abnormal robot decision-making in complex environments, reduces collision hazards, and enhances the safety and reliability of the system.
Smart Images
Figure CN121315952B_ABST