强加动作可变性,以实现人机协作
Mark Zolotas1, Rui Luo2, Salah Bazzi1
1Institute for Experiential Robotics, Northeastern University, Boston, MA, USA.
概括
在机器人行为中引入可变性可以防止工人自满和人类机器人协作中的技能退化. 这种方法通过避免过度依赖"过度辅助"的机器人来增强人体工程学.
科学领域:
- 职业安全和人体工程学
- 人与机器人的交互
- 机器人工程 机器人工程 机器人工程
背景情况:
- 过于有帮助的机器人可能会对长期的工作场所合作产生负面影响.
- 风险包括工人自满,技能丧失和局势意识降低.
- 像信任和舒适等标准指标可能无法防止这些问题.
研究的目的:
- 探索机器人行为变化如何影响重复性任务中的人体工程学.
- 调查防止过度依赖协作机器人的负面后果的方法.
- 为人体工程学从业者提供有关"刺激"机器人行为框架的信息.
主要方法:
- 在物理人机协作中灌输变化.
- 在重复任务中评估各种机器人行为对人体工程学的影响.
- 在人机协作中审查"刺激"机器人行为的原则.
主要成果:
- 协作机器人行为的变化对人体工程学产生了可衡量的积极影响.
- 这种方法可以减轻与过度依赖和过度信任相关的风险.
- 调查结果表明,我们不应该只关注用户信任和舒适度指标.
结论:
- 引入机器人行为中的变化对于可持续的人机协作至关重要.
- 人体工程学从业者应该考虑自适应机器人的行为,以保持员工的技能和意识.
- 这项研究为设计更有效的协作机器人系统提供了一个框架.
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