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
  • [21] Challenges of the Multi-robot Team in the GUARDIANS Project
    Alboul, Lyuba
    Saez-Pons, Joan
    Penders, Jacques
    Nomdedeu, Leo
    INTELLIGENT ROBOTICS AND APPLICATIONS, PROCEEDINGS, 2009, 5928 : 112 - +
  • [22] Distributed optimization for the multi-robot system using a neurodynamic approach
    Fang, Xiaomeng
    Pang, Dong
    Xi, Juntong
    Le, Xinyi
    NEUROCOMPUTING, 2019, 367 : 103 - 113
  • [23] Multi-robot Optimal Deployment Planning Under Communication Constraints
    Marchukov, Yaroslav
    Montano, Luis
    ROBOT 2015: SECOND IBERIAN ROBOTICS CONFERENCE: ADVANCES IN ROBOTICS, VOL 1, 2016, 417 : 677 - 690
  • [24] An Approach to Multi-Robot Cooperative SLAM
    Wu Xiaolin
    Yuan Jing
    Sun Fengchi
    Chen Huan
    Huang Shuzi
    PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE, 2012, : 4904 - 4909
  • [25] Multi-robot Deployment From LTL Specifications with Reduced Communication
    Kloetzer, Marius
    Ding, Xu Chu
    Belta, Calin
    2011 50TH IEEE CONFERENCE ON DECISION AND CONTROL AND EUROPEAN CONTROL CONFERENCE (CDC-ECC), 2011, : 4867 - 4872
  • [26] Simultaneous Deployment and Tracking Multi-Robot Strategies with Connectivity Maintenance
    Tardos, Javier
    Aragues, Rosario
    Sagues, Carlos
    Rubio, Carlos
    SENSORS, 2018, 18 (03):
  • [27] Approximate Dynamic Programming for Relay Deployment in Multi-robot System
    Yao, Song
    Wu, Yunlong
    Zhang, Bo
    INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2017, PT I, 2017, 10462 : 648 - 658
  • [28] Sequential Stochastic Multi-Task Assignment for Multi-Robot Deployment Planning
    Mitchell, Colin
    Best, Graeme
    Hollinger, Geoffrey
    2023 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRA, 2023, : 3454 - 3460
  • [29] Navigation of Multi-Robot Formation in Unstructured Environment Using Dynamical Virtual Structures
    Benzerrouk, Ahmed
    Adouane, Lounis
    Lequievre, Laurent
    Martinet, Philippe
    IEEE/RSJ 2010 INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2010), 2010, : 5589 - 5594
  • [30] Multi-robot Teleoperation Based On Distributed Virtual Environment
    Gao, Sheng
    Chen, Dongdong
    FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY III, PTS 1-3, 2013, 401 : 1923 - 1926