An Efficient Rescue System with Online Multi-Agent SLAM Framework
نویسندگان
چکیده
منابع مشابه
An Online Q-learning Based Multi-Agent LFC for a Multi-Area Multi-Source Power System Including Distributed Energy Resources
This paper presents an online two-stage Q-learning based multi-agent (MA) controller for load frequency control (LFC) in an interconnected multi-area multi-source power system integrated with distributed energy resources (DERs). The proposed control strategy consists of two stages. The first stage is employed a PID controller which its parameters are designed using sine cosine optimization (SCO...
متن کاملA Framework for RF-Visual SLAM for Cooperative Multi-Agent System
This chapter provides a framework for radio frequency visual simultaneous localization and mapping problems for a team of agents consisting of three blimps and beacons. In a cooperative system, each agent must establish reliable data sharing during a mission. Under these conditions, a framework was proposed which allows each agent to share the local information using peer-to-peer networking sch...
متن کاملCollaborative Visual SLAM Framework for a Multi-Robot System
This paper presents a framework for collaborative visual SLAM using monocular cameras for a team of mobile robots. The robots perform SLAM individually using their on-board processors thereby estimating the seven degrees of freedom (including scale) for the motion of the camera and creating a map of the environment as a pose-graph of keyframes. Each robot communicates to a central server by sen...
متن کاملFinite-time Flocking of Multi-agent System with Input Saturation
In this paper a finite-time flocking of multi-agent system with input saturation is investigated. By introducing a new control protocol, it is show that speed and position of agents with double-integrator dynamics converge to the speed and position of leader in finite time. It is assumed that the graph between the agents is connected and that at least one agent is informed of the leader speed a...
متن کاملA Distributed Online Multi-Agent Planning System
The gap between planning and execution is still an open problem that, despite several tries from members of both automated planning and autonomous agents communities, remains without a proper general-purpose solution. We aim to tackle this problem by using a framework for the development of multi-agent systems in both the decentralised multi-agent planning stages, and the execution stages, prov...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sensors
سال: 2019
ISSN: 1424-8220
DOI: 10.3390/s20010235