首页|Researchers from University of Birmingham Detail Findings in Robotics (Right Place, Right Time: Proactive Multi-robot Task Allocation Under Spatiotemporal Uncertainty)
Researchers from University of Birmingham Detail Findings in Robotics (Right Place, Right Time: Proactive Multi-robot Task Allocation Under Spatiotemporal Uncertainty)
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
A new study on Robotics is now available. According to news reporting out of Birmingham, United Kingdom, by NewsRx editors, research stated, “For many multi-robot problems, tasks are announced during execution, where task announcement times and locations are uncertain. To synthesise multi-robot behaviour that is robust to early announcements and unexpected delays, multi-robot task allocation methods must explicitly model the stochastic processes that govern task announcement.” Funders for this research include Honda Research Institute Europe GmbH, UK Research & Innovation (UKRI), EPSRC through the Robotics and Artificial Intelligence for Nuclear (RAIN) hub, Engineering & Physical Sciences Research Council (EPSRC). Our news journalists obtained a quote from the research from the University of Birmingham, “In this paper, we model task announcement using continuous-time Markov chains which predict when and where tasks will be announced. We then present a task allocation framework which uses the continuous-time Markov chains to allocate tasks proactively, such that robots are near or at the task location upon its announcement. Our method seeks to minimise the expected total waiting duration for each task, i.e. the duration between task announcement and a robot beginning to service the task. Our framework can be applied to any multi-robot task allocation problem where robots complete spatiotemporal tasks which are announced stochastically.”
BirminghamUnited KingdomEuropeEmerging TechnologiesMachine LearningNano-robotRobotRoboticsUniversity of Birmingham
NETL
NSTL
