Multi-Swarm Interaction Through Augmented Reality for Kilobots

被引:2
作者
Feola, Luigi [1 ,2 ]
Reina, Andreagiovanni [3 ,4 ,5 ]
Talamali, Mohamed S. [6 ]
Trianni, Vito [2 ]
机构
[1] Sapienza Univ Rome, Dept Comp Control & Management Engn Antonio Rubert, I-00185 Rome, Italy
[2] CNR, Inst Cognit Sci & Technol, I-00185 Rome, Italy
[3] Univ Libre Bruxelles, IRIDIA, B-1050 Ixelles, Belgium
[4] Univ Sheffield, Sheffield Robot, Sheffield S10 2TN, England
[5] Univ Konstanz, Ctr Adv Studyof Collect Behav, D-78464 Constance, Germany
[6] Sheffield Hallam Univ, Sheffield S1 1WB, England
关键词
Swarm robotics; multi swarm; heterogeneity; kilobot; augmented reality; ROBOT;
D O I
10.1109/LRA.2023.3312031
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Research with swarm robotics systems can be complicated, time-consuming, and often expensive in terms of space and resources. The situation is even worse for studies involving multiple, possibly heterogeneous robot swarms. Augmented reality can provide an interesting solution to these problems, as demonstrated by the ARK system (Augmented Reality for Kilobots), which enhanced the experimentation possibilities with Kilobots, also relieving researchers from demanding tracking and logging activities. However, ARK is limited in mostly enabling experimentation with a single swarm. In this letter, we introduce M-ARK, a system to support studies on multi-swarm interaction. M-ARK is based on the synchronisation over a network connection of multiple ARK systems, whether real or simulated, serving a twofold purpose: i) to study the interaction of multiple, possibly heterogeneous swarms, and ii) to enable a gradual transition from simulation to reality. Moreover, M-ARK enables the interaction between swarms dislocated across multiple labs worldwide, encouraging scientific collaboration and advancement in multi-swarm interaction studies.
引用
收藏
页码:6907 / 6914
页数:8
相关论文
共 33 条
  • [1] Allen JM, 2020, LECT NOTES COMPUT SC, V12421, P243, DOI 10.1007/978-3-030-60376-2_19
  • [2] Antoun A, 2016, 2016 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2016), P3809, DOI 10.1109/IROS.2016.7759560
  • [3] A Novel Paradigm for Underwater Monitoring Using Mobile Sensor Networks
    Babic, Anja
    Loncar, Ivan
    Arbanas, Barbara
    Vasiljevic, Goran
    Petrovic, Tamara
    Bogdan, Stjepan
    Miskovic, Nikola
    [J]. SENSORS, 2020, 20 (16) : 1 - 23
  • [4] Animal search strategies: A quantitative. random-walk analysis
    Bartumeus, F
    Da Luz, MGE
    Viswanathan, GM
    Catalan, J
    [J]. ECOLOGY, 2005, 86 (11) : 3078 - 3087
  • [5] Cambier N., 2021, Appl. Soft Comput., V113
  • [6] Random Walks in Swarm Robotics: An Experiment with Kilobots
    Dimidov, Cristina
    Oriolo, Giuseppe
    Trianni, Vito
    [J]. SWARM INTELLIGENCE, 2016, 9882 : 185 - 196
  • [7] Swarmanoid: A novel concept for the study of heterogeneous robotic swarms
    Dorigo, Marco
    Floreano, Dario
    Gambardella, Luca Maria
    Mondada, Francesco
    Nolfi, Stefano
    Baaboura, Tarek
    Birattari, Mauro
    Bonani, Michael
    Brambilla, Manuele
    Brutschy, Arne
    Burnier, Daniel
    Campo, Alexandre
    Christensen, Anders Lyhne
    Decugniere, Antal
    Di Caro, Gianni
    Ducatelle, Frederick
    Ferrante, Eliseo
    Förster, Alexander
    Gonzales, Javier Martinez
    Guzzi, Jerome
    Longchamp, Valentin
    Magnenat, Stephane
    Mathews, Nithin
    Montes De Oca, Marco
    O'Grady, Rehan
    Pinciroli, Carlo
    Pini, Giovanni
    Rétornaz, Philippe
    Roberts, James
    Sperati, Valerio
    Stirling, Timothy
    Stranieri, Alessandro
    Stützle, Thomas
    Trianni, Vito
    Tuci, Elio
    Turgut, Ali Emre
    Vaussard, Florian
    [J]. IEEE Robotics and Automation Magazine, 2013, 20 (04) : 60 - 71
  • [8] Reflections on the future of swarm robotics
    Dorigo, Marco
    Theraulaz, Guy
    Trianni, Vito
    [J]. SCIENCE ROBOTICS, 2020, 5 (49)
  • [9] Feola L., 2023, Multi augmented reality for Kilobots
  • [10] Adaptive Strategies for Team Formation in Minimalist Robot Swarms
    Feola, Luigi
    Trianni, Vito
    [J]. IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 7 (02) : 4079 - 4085