如何推动医疗保健中的社会机器人使用案例 - 通过可互操作的编程界面?
Robin Glauser1, Jürgen Holm2, Matthias Bender2
1Institute for Medical Informatics BFH, Berne University of Applied Sciences, Höheweg 80, CH, 2502, Biel, Switzerland. robin.glauser@bfh.ch.
BMC medical informatics and decision making
|July 11, 2023
概括
一个新的基于Android的机器人中间件简化了非专家的机器人控制. 这种可适应的系统运行在Cruzr和Pepper机器人上,增强了人机交互,可以用于医疗保健和教育.
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
- 软件工程 软件工程 软件工程
背景情况:
- 目前的机器人中间件通常是复杂的或过时的,阻碍了非专家的可用性.
- 需要与现有机器人平台集成的用户友好型中间件.
研究的目的:
- 开发基于Android的新型,用户友好的机器人中间件.
- 通过简化与现有机器人SDK和中间件的交互来促进非专家的机器人控制.
主要方法:
- 为Cruzr机器人的平板电脑开发了一个Android应用程序,具有WebSocket服务器,可以通过Python或其他兼容语言进行控制.
- 集成的谷歌云语音服务,用于文本转语音和语音转文本功能.
- 创建了一个用于直接控制机器人的网络界面,并实施了各种机器人功能,包括导航和条形码扫描.
主要成果:
- 在Cruzr机器人上成功部署了中间件,并通过WebSocket API和Python展示了控制.
- 通过将接口移植到Pepper机器人来展示适应性,并有可能实现更广泛的平台兼容性.
- 实施的医疗保健用例与积极的用户反,突出介质软件的实际应用.
结论:
- 开发的中间件为机器人控制提供了一种简化的方法,适合非专家使用.
- 该系统的架构支持不同机器人和平台的适应性,促进更广泛的研究和教育应用.
- 未来的工作包括简化自然文本到代码生成器的编程,并进一步探索人机交互.
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