实时的人机交互和使用混合智能计算框架提供服务
Mohammed Albekairi1, Meshari D Alanazi1, Turki M Alanazi2
1Department of Electrical Engineering, College of Engineering, Jouf University, Sakakah, Saudi Arabia.
PloS one
|June 27, 2025
概括
本研究介绍了一种混合智能计算模型 (HICM),以增强机器人查询处理. 通过降低计算和故障率,HICM 改善了实时,个性化的服务交付.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
- 计算机科学 计算机科学
背景情况:
- 现有的机器人查询处理系统面临着高计算成本,低效的服务匹配以及在动态环境中的高失败率.
- 在医疗保健,客户服务和工业自动化等各个领域,有效的人机交互至关重要.
研究的目的:
- 开发一种混合智能计算模型 (HICM),用于自主机器人查询处理.
- 通过高效,个性化和特定环境的解决方案,增强机器人的实时响应能力.
主要方法:
- 该HICM集成了一个决策支持系统,利用自组织计算方法.
- 它结合了回火和 Tabu Search 技术来评估查询特征和服务相关性.
- 塔布搜索被用来将查询解决方案视为非融合优化问题,防止不兼容的查询响应.
主要成果:
- 在性能指标方面,HICM在现有模型 (CDS,DGTA,CCS) 上显示出显著的改进.
- 计算时间减少了8.67%,服务时间减少了15.09%,故障率减少了7.87%.
- 实现了11.8%更高的成功率,14.88%更高的匹配率和6.22%更低的失败率.
结论:
- 该HICM模型显著提高机器人查询处理效率和可靠性.
- 它使机器人能够在实时的人机交互中提供及时,准确和特定于环境的服务.
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