Multi-Robot Deployment Using a Virtual Force Approach: Challenges and Guidelines

被引:12
|
作者
Sallam, Gamal [1 ]
Baroudi, Uthman [1 ]
Al-Shaboti, Mohammed [1 ]
机构
[1] King Fahd Univ Petr & Minerals, Dept Comp Engn, Dhahran 31261, Saudi Arabia
关键词
virtual force; attractive force; repulsive force; calibrating virtual force parameters; energy-aware virtual force; PARTICLE SWARM OPTIMIZATION; SENSOR DEPLOYMENT;
D O I
10.3390/electronics5030034
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Robotics networks are an emerging technology that has a wide range of applications. Robots are used for many military and civilian applications. Applications such as search-and-rescue operations or area monitoring during an environmental disaster, cannot be effectively carried out by a single robot, but rather are carried out by several robots forming what is called a "robotic network". In rescue operations, for example, robots can be used to help to discover bodies under the rubble or even to assist the injured. One of the main challenges in these applications is how to deploy the robots without central coordination. Virtual force (VF) technique appears to be one of the prominent approaches to perform multi-robot deployment autonomously. However, the effectiveness of this approach depends on how its parameters are calibrated in order to achieve the required deployment. There are two important factors: attractive force (w(a)) and repulsive force (w(r)). In this work, we investigate the best settings of these two factors in order to accommodate different kinds of scenarios. Additionally, and for the first time, an energy-aware virtual force approach is proposed to balance energy consumption among deployed robots and consequently maximize the network lifetime. Extensive simulation experiments are conducted to study and explore the effectiveness of the proposed settings. Finally, a proof of concept experiment using Lego (TM) Mindstorm robots is carried out to demonstrate the effectiveness of these settings.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Multi-Robot Mixing Using Braids
    Diaz-Mercado, Yancy
    Egerstedt, Magnus
    2013 IEEE 52ND ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2013, : 2001 - 2005
  • [42] Fast and scalable multi-robot deployment planning under connectivity constraints
    Marchukov, Yaroslav
    Montano, Luis
    2019 19TH IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC 2019), 2019, : 47 - 53
  • [43] System Design for Coordinated Multi-Robot Assistance Deployment in Smart Spaces
    Papadakis, Panagiotis
    Lohr, Christophe
    Lujak, Marin
    Karami, Abir B.
    Kanellos, Ioannis
    Lozenguez, Guillaume
    Fleury, Anthony
    2018 SECOND IEEE INTERNATIONAL CONFERENCE ON ROBOTIC COMPUTING (IRC), 2018, : 324 - 329
  • [44] Multi-robot Cooperative Pathfinding: A Decentralized Approach
    Wei, Changyun
    Hindriks, Koen V.
    Jonker, Catftolijn M.
    MODERN ADVANCES IN APPLIED INTELLIGENCE, IEA/AIE 2014, PT I, 2014, 8481 : 21 - 31
  • [45] A probabilistic approach to collaborative multi-robot localization
    Fox, D
    Burgard, W
    Kruppa, H
    Thrun, S
    AUTONOMOUS ROBOTS, 2000, 8 (03) : 325 - 344
  • [46] Unifying geometric, probabilistic, and potential field approaches to multi-robot deployment
    Schwager, Mac
    Rus, Daniela
    Slotine, Jean-Jacques
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2011, 30 (03): : 371 - 383
  • [47] A Cooperative Approach for Multi-Robot Area Exploration
    Yuan, Jing
    Huang, Yalou
    Tao, Tong
    Sun, Fengchi
    IEEE/RSJ 2010 INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2010), 2010, : 1390 - 1395
  • [48] A Probabilistic Approach to Collaborative Multi-Robot Localization
    Dieter Fox
    Wolfram Burgard
    Hannes Kruppa
    Sebastian Thrun
    Autonomous Robots, 2000, 8 : 325 - 344
  • [49] A Recursive Approach to Multi-robot Exploration of Trees
    Ortolf, Christian
    Schindelhauer, Christian
    STRUCTURAL INFORMATION AND COMMUNICATION COMPLEXITY, SIROCCO 2014, 2014, 8576 : 343 - 354
  • [50] Multi-robot planning : A timed automata approach
    Quottrup, MM
    Bak, T
    Izadi-Zamanabadi, R
    2004 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1- 5, PROCEEDINGS, 2004, : 4417 - 4422