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
  • [31] A force field method based multi-robot collaboration
    Liu, D. K.
    Wang, D.
    Dissanayake, G.
    2006 IEEE CONFERENCE ON ROBOTICS, AUTOMATION AND MECHATRONICS, VOLS 1 AND 2, 2006, : 511 - +
  • [32] Synthesis Challenges in Building a Multi-Robot Task Server
    Majumdar, Rupak
    ELECTRONIC PROCEEDINGS IN THEORETICAL COMPUTER SCIENCE, 2017, (260): : 1 - 1
  • [33] A distributed approach to the control of multi-robot systems using XP colonies
    Florea, Andrei George
    Buiu, Catalin
    INTEGRATED COMPUTER-AIDED ENGINEERING, 2018, 25 (01) : 15 - 29
  • [34] Disaster Rescue via Multi-Robot Collaboration: Development, Control, and Deployment
    Watanobe, Yutaka
    Kabir, Raihan
    Aoba, Ryuma
    Ohashi, Ayato
    Ogata, Shunsuke
    Shiga, Mizuki
    Tsuruno, Kota
    Anazawa, Tsuyoshi
    Naruse, Keitaro
    JOURNAL OF ROBOTICS AND MECHATRONICS, 2023, 35 (01) : 85 - 98
  • [35] Decomposition and Cut Generation Strategies for Solving Multi-Robot Deployment Problems
    Pacheco, Adriana
    Pralet, Cedric
    Roussel, Stephanie
    PRINCIPLES AND PRACTICE OF CONSTRAINT PROGRAMMING, CP 2019, 2019, 11802 : 472 - 487
  • [36] MULTI-ROBOT DECENTRALIZED EXPLORATION USING A TRADE-BASED APPROACH
    Yan, Zhi
    Jouandeau, Nicolas
    Cherif, Arab Ali
    ICINCO 2011: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL 2, 2011, : 99 - 105
  • [37] A multi-robot mapping approach using different motion planning methods
    Muñoz-Gomez, L
    Alencastre-Miranda, M
    Swain-Oropeza, R
    PROCEEDINGS OF THE TENTH IASTED INTERNATIONAL CONFERENCE ON ROBOTICS AND APPLICATIONS, 2004, : 67 - 72
  • [38] Multi-robot searching using game-theory based approach
    Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, United States
    Int. J. Adv. Rob. Syst., 2008, 4 (341-350):
  • [39] Multi-Robot Searching using Game-Theory Based Approach
    Meng, Yan
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2008, 5 (04): : 341 - 350
  • [40] A Microeconomic approach to multi-robot team formation
    Gupta, U.
    Ranganathan, N.
    2007 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-9, 2007, : 3025 - 3030