基于信任的人机协作积极互动策略的生成
Yujie Guo1, Pengfei Yi1, Xiaopeng Wei2
1Key Laboratory of Advanced Design and Intelligent Computing (Ministry of Education), School of Software Engineering, Dalian University, Dalian, 116622, China.
Visual computing for industry, biomedicine, and art
|June 23, 2025
概括
本研究介绍了基于信任的人机协作 (HRC) 战略,以提高效率. 通过动态优化基于信任的机器人行为,它提高了协作速度,同时确保任务的成功.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人与计算机的交互
- 人工智能的人工智能
背景情况:
- 人机协作 (HRC) 的成功往往与人类的信任有关.
- 现有的研究优先考虑任务成功率,而不是协作效率.
- 提高HRC效率对于实际应用至关重要.
研究的目的:
- 提出基于信任的HRC积极互动策略生成方法.
- 提高整体协作效率,同时保持高的成功率.
- 开发一种用于实时优化机器人策略的新方法.
主要方法:
- 一种基于信任的最佳机器人战略生成方法,使用HRC过程的树模型.
- 一种使用视觉语言模型计算人类信任的机器人性能评估方法.
- 基于性能反和信任级别的实时,代的机器人策略生成.
主要成果:
- 提出的方法显著提高了HRC任务中的协作效率.
- 在整个协作任务中保持了高的成功率.
- 基于信任的动态战略调整在优化业绩方面被证明是有效的.
结论:
- 基于信任的战略生成是一种可行的方法来提高HRC的效率.
- 基于信任的机器人行为的实时适应是优化合作的关键.
- 这种方法为未来的人机交互研究提供了一个有希望的方向.
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