首页|Researchers at University College London (UCL) Release New Data on Robotics (An End-to-end Deep Reinforcement Learning Based Modular Task Allocation Framework f or Autonomous Mobile Systems)
Researchers at University College London (UCL) Release New Data on Robotics (An End-to-end Deep Reinforcement Learning Based Modular Task Allocation Framework f or Autonomous Mobile Systems)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingoriginating from London, United Kingd om, by NewsRx correspondents, research stated, “Intelligentdecision-making syst ems that can solve task allocation problems are critical for multi-robot systems toconduct industrial applications in a collaborative and automated way, such a s warehouse inspection usingmobile robots, hydrographic surveying using unmanne d surface vehicles, etc. This paper, therefore, aimsto address the task allocat ion problem for multi-agent autonomous mobile systems to autonomously andintell igently allocate multiple tasks to a fleet of robots.”
LondonUnited KingdomEuropeEmerging TechnologiesMachine LearningNano-robotReinforcement LearningRobotRobo ticsUniversity College London (UCL)
NETL
NSTL
