适应式辅助机器人:人类和机器人之间的三元协作框架
Daniel F N Gordon1,2, Andreas Christou1, Theodoros Stouraitis3
1The University of Edinburgh, Edinburgh, UK.
Royal Society open science
|June 30, 2023
概括
这项研究引入了一个新的框架,用于优化人机团队中的机器人行为,提高辅助技术的有效性. 该方法改善了机器人辅助医疗保健和康复任务中人们的结果.
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
- 生物机械工程 生物机械工程
背景情况:
- 辅助技术和机器人在医疗保健和工业领域提供了重要的社会利益.
- 安全有效地控制机器人是一项挑战,特别是在具有多个目标的人机交互中.
研究的目的:
- 提出一个有效的框架,以优化机器人和辅助技术在混合的人类技术系统的行为.
- 为了使机器人行为能够为涉及多个高级目标的任务进行微调.
主要方法:
- 使用详细生物机械建模的组合.
- 使用加权的多目标优化技术.
- 通过辅助生活和康复的案例研究来说明框架.
主要成果:
- 在模拟和三元合作实验中展示了框架的应用.
- 展示了在机器人辅助任务中改善人类代理人的结果指标的潜力.
- 在混合剂系统中显示出三元方法的显著好处.
结论:
- 拟议的框架有效地优化了复杂的人机系统中的机器人和辅助技术行为.
- 这种方法有可能显著提高人类在辅助生活和康复中的结果.
- 该研究强调了机器人辅助协作任务中的三元方法的优势.
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