多模态感知技术在工业机器人复杂场景中的 应用研究

Research on the Application of Multi-modal Perception Technology in Complex Scenarios of Industrial Robots

  • 摘要: 模态感知技术及其在复杂场景中的典型应用,围绕非结构化异形零部件装配任务,构建实验平台开展对比测试。结果表明, 融合多模态感知技术的系统在识别准确率、装配成功率、操作稳定性等维度均显著优于传统方案,验证了其在复杂工业场 景下的工程实用性与推广价值。

     

    Abstract: pathway to overcome the adaptability bottlenecks of industrial robots in challenging environments. This study provides a systematic review of multi-modal perception technology and its typical applications in complex scenes, and focuses on the assembly tasks of unstructured and irregular parts. An experimental platform was constructed to conduct comparative tests. The results indicate that the systems incorporating multi-modal perception technology significantly outperform the traditional solutions in terms of recognition accuracy,assembly success rate,and operational stability,thereby validating their engineering practicality and promotion value in complex industrial settings.

     

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