适应性网络模型通过群众监控和控制来协助残疾人
Alicia Falcon-Caro1, Evtim Peytchev1, Saeid Sanei1,2
1Department of Computer Science, Nottingham Trent University, Nottingham NG11 8NS, UK.
Bioengineering (Basel, Switzerland)
|March 27, 2024
概括
本研究介绍了适应性合作网络,以帮助残疾人在紧急情况下安全地驾驶人群. 系统模型采用人群动态,使用实时数据和无线追踪器实现自我组织以确保安全移动.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 机器人技术 机器人技术 机器人技术
背景情况:
- 在紧急情况下,人群导航带来了重大挑战,特别是对于残疾人来说.
- 现有的系统缺乏在动态人群环境中自我组织的适应机制.
研究的目的:
- 开发一种适应性合作网络模型,以协助残疾人在人群中进行导航.
- 在紧急情况下加强弱势群众成员的安全和自我组织.
主要方法:
- 使用自适应合作网络建模人群运动.
- 实施一个合作式的学习方法,为代理人自我组织.
- 使用实时路径估计和无线追踪器 (如AirTags) 进行代理协调.
主要成果:
- 为残疾人提供有效的群众导航辅助.
- 展示了代理人能够动态调整速度和距离以确保安全移动的能力.
- 经过验证的模型对实时环境变化的有效性.
结论:
- 适应性合作网络为改善残疾人的人群安全提供了可行的解决方案.
- 拟议的模型在关键情况下促进人群内部的自我组织和合作.
- 与无线追踪器的集成增强了该系统的实际应用性.
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