首页|Research Results from Department of Electrical and Computer Engineering Update U nderstanding of Robotics (CoLoSSI: Multi-Robot Task Allocation in Spatially-Dist ributed and Communication Restricted Environments)
Research Results from Department of Electrical and Computer Engineering Update U nderstanding of Robotics (CoLoSSI: Multi-Robot Task Allocation in Spatially-Dist ributed and Communication Restricted Environments)
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 Daily News Daily News – New research on robotics is the subjec t of a new report. According to news originating from the Department of Electric al and Computer Engineering by NewsRx editors, the research stated, “In our rese arch, we address the problem of coordination and planning in heterogeneous multi -robot systems for missions that consist of spatially localized tasks.” Our news editors obtained a quote from the research from Department of Electrica l and Computer Engineering: “Conventionally, this problem has been framed as a t ask allocation problem that maps tasks to robots. However, all previous work ass umes that tasks are atomic procedures. In this work, we relax this assumption an d adopt a non-atomic model of tasks that enables robots to accomplish mission ta sks incrementally over disjoint periods, precisely to account for the possibilit y of having a task serviced by numerous individual contributions over time. We p ropose a cooperative, load-balancing task allocation and scheduling algorithm ba sed on sequential single-item auctions (CoLoSSI) that explicitly considers the n on-atomicity of tasks, promotes synergies between agents, and enables cooperatio n while maintaining computational tractability. We also propose a fully distribu ted variant of CoLoSSI that tackles sparse, communication-restricted scenarios.”
Department of Electrical and Computer En gineeringEmerging TechnologiesMachine LearningNano-robotRobotRobotics
NETL
NSTL
