Learning and relearning of target decision strategies in continuous coordinated cleaning tasks with shallow coordination 1
作者: Keisuke YonedaAyumi SugiyamaChihiro KatoToshiharu Sugawara
刊名: Web Intelligence, 2015, Vol.13 (4), pp.279-294
来源数据库: IOS Journal
DOI: 10.3233/WEB-150326
关键词: Multi-robot sweepingcoordinationlearningrobot patrolling
原始语种摘要: We propose a method of autonomous learning of target decision strategies for coordination in the continuous cleaning domain. With ongoing advances in computer and sensor technologies, we can expect robot applications for covering large areas that often require coordinated/cooperative activities by multiple robots. We focus on the cleaning tasks by multiple robots or by agents which are programs to control the robots in this paper. We assumed situations where agents did not directly exchange deep and complicated internal information and reasoning results such as plans, strategies and long-term targets for their sophisticated coordinated activities, but rather exchanged superficial information such as the locations of other agents (using the equipment deployed) for their shallow...
全文获取路径: IOS Press 

  • learning 学识
  • decision 决定
  • coordination 配位
  • information 报告
  • proposed 建议的
  • cleaning 精选
  • environment 环境
  • autonomous 自发的
  • their 他们的
  • method 方法