人机交互的多模式感知驱动决策:一项调查
Wenzheng Zhao1, Kruthika Gangaraju1, Fengpei Yuan1
1Department of Robotics Engineering, Worcester Polytechnic Institute, Worcester, MA, United States.
Frontiers in robotics and AI
|September 8, 2025
概括
机器人使用多式感知,整合视觉,语言和触觉,在复杂的环境中做出更好的决策. 本综述涵盖了人机交互 (HRI) 多模式感知驱动决策 (MPDDM) 的进展和挑战.
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
- 认知科学 认知科学
背景情况:
- 多模式感知是机器人理解复杂环境和人类用户的关键,通过整合各种感官数据.
- 这种能力对于机器人在动态和复杂的环境中做出决策至关重要.
研究的目的:
- 提供多式联络感知及其与机器人技术决策的整合 (2004-2024) 的综合性审查.
- 系统地总结多式联运感知驱动决策 (MPDDM) 框架及其在人机交互 (HRI) 中的应用.
主要方法:
- 2004-2024年MPDDM框架的系统文献审查.
- 在人机交互 (HRI) 中使用的方法的分析.
- 识别和分析多式联运感知和决策中的关键挑战.
主要成果:
- 总结了现有的MPDDM框架,强调了动态环境中的优势.
- 确定了关键挑战,包括技术整合,传感器噪声,适应,领域概括以及安全/稳固性.
- 在人机交互 (HRI) 中使用的审查方法.
结论:
- 未来的研究应该集中在适应性多式联通融合,高效的学习范式和人类信任的决策框架上.
- 在MPDDM的进步对于改善HRI至关重要.
- 应对传感器噪声,适应性和强度方面的挑战对于可靠的机器人系统至关重要.
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