"Pitfalls" of Bio-Inspired Models on the Example of Ant Trails

被引:0
|
作者
Karpova, I. P. [1 ]
Karpov, V. E. [2 ]
机构
[1] HSE Univ, Moscow, Russia
[2] Natl Res Ctr Kurchatov Inst, Moscow, Russia
关键词
social behavior models; collective robotics; autonomous mobile robots; bio-inspired models; foraging task; CONSTRUCTION;
D O I
10.1134/S0005117924700073
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper explores the problem of influencing the environment by a group of autonomous robots through the creation and use of road infrastructure. The model object is ant roads (trails). We identify the main aspects of the behavior of different ant species in the process of collective foraging, and actions that together lead to the appearance of a phenomenon that the observer perceives as an ant road. We develop and describe an animat behavior model in the process of arranging a route. We define a list of mechanisms, a set of sensory capabilities, and effectors that are necessary for the robot to implement options for arranging the route. The results of simulation modeling for solving the foraging problem with route clearing are consistent with theoretical models. The simulation results confirm our assumption that the route arrangement can be carried out by individual efforts of animats (robots) and without the need to organize joint actions.
引用
收藏
页码:641 / 651
页数:11
相关论文
共 50 条
  • [1] Detection and tracking of chemical trails in bio-inspired sensory systems
    Huang Y.
    Yen J.
    Kanso E.
    Kanso, Eva (Kanso@usc.edu), 1600, Taylor and Francis Ltd. (26): : 98 - 114
  • [2] Hardware Implementation of Bio-Inspired Models
    Kolka, Zdenek
    Biolkova, Viera
    Biolek, Dalibor
    Biolek, Zdenek
    2018 NEW GENERATION OF CAS (NGCAS), 2018, : 102 - 105
  • [3] IDS based on bio-inspired models
    Gastaldo, Paolo
    Picasso, Francesco
    Zunino, Rodolfo
    Herrero, Alvaro
    Corchado, Emilio
    Saiz, Jose Manuel
    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS: KES 2007 - WIRN 2007, PT II, PROCEEDINGS, 2007, 4693 : 133 - 140
  • [4] Bio-Inspired Models for Characterizing YouTube Viewcout
    Richier, Cedric
    Altman, Eitan
    Elazouzi, Rachid
    Jimenez, Tania
    Linares, Georges
    Portilla, Yonathan
    2014 PROCEEDINGS OF THE IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2014), 2014, : 297 - 305
  • [5] Bio-inspired
    Tegler, Jan
    AEROSPACE AMERICA, 2021, 59 (02) : 20 - 29
  • [6] A bio-inspired celestial compass applied to an ant-inspired robot for autonomous navigation
    Dupeyroux, Julien
    Diperi, Julien
    Boyron, Marc
    Viollet, Stephane
    Serres, Julien
    2017 EUROPEAN CONFERENCE ON MOBILE ROBOTS (ECMR), 2017,
  • [7] Robust Bio-Inspired Routing Protocol in MANETs Using Ant Approach
    Sharma, Arush
    Kim, Dongsoo S.
    PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON UBIQUITOUS INFORMATION MANAGEMENT AND COMMUNICATION (IMCOM) 2019, 2019, 935 : 97 - 110
  • [8] Bio-Inspired Ant Lion Optimizer for a Constrained Petroleum Product Scheduling
    Igiri, Chinwe Peace
    Bhargava, Deepshikha
    Ekwomadu, Theodora
    Kasali, Funmilayo
    Isong, Bassey
    IEEE ACCESS, 2022, 10 : 94986 - 94997
  • [9] Bio-inspired Bio-inspired computer vision based on neural networks
    Antón-Rodríguez M.
    González-Ortega D.
    Díaz-Pernas F.J.
    Martínez-Zarzuela M.
    de la Torre-Díez I.
    Boto-Giralda D.
    Díez-Higuera J.F.
    Pattern Recognition and Image Analysis, 2011, 21 (2) : 108 - 112
  • [10] Mitigating Insider Threats Using Bio-Inspired Models
    Nicolaou, Andreas
    Shiaeles, Stavros
    Savage, Nick
    APPLIED SCIENCES-BASEL, 2020, 10 (15):