机器人手臂的持续手势控制:性能适用于各种手对机器人地图
IEEE transactions on bio-medical engineering
|October 13, 2023
概括
优化机器人四肢的控制图并没有改善用户技能. 个人用户能力,而不是接口地图,在高自由度 (DOF) 系统中显著影响性能.
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
- 发动机控制器的控制器
背景情况:
- 高自由度 (DOF) 机器人系统需要直观的人机界面来进行精确的控制.
- 当前的界面设计往往侧重于优化用户输入和设备命令之间的静态映射,以增强技能获取.
研究的目的:
- 调查不同地图特征如何影响控制机器人四肢的技能获取.
- 确定优化控制图是否是提高操作员性能最有效的策略.
主要方法:
- 36名参与者通过19维的手指动作控制了一个5关节的机器人手臂.
- 采用了三种不同的地图:主要组件分析 (PCA),平等的PCA和非线性自动编码器,每个都采用不同的差异捕获原则.
- 参与者执行了涉及起和移动物体的任务.
主要成果:
- 在三个不同的映射结构中,没有观察到群体表现的显著差异.
- 参与者的内在能力对表现产生了比界面地图设计更大的影响.
结论:
- 该研究表明,优化控制图可能不是提高机器人系统操作员技能的主要因素.
- 未来的研究应该探索其他人机接口元素,如反机制和学习环境,以提高操作员的性能.
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