Robot Swarms as Hybrid Systems: Modelling and Verification

被引:0
|
作者
Schupp, Stefan [1 ]
Leofante, Francesco [2 ]
Behr, Leander [3 ]
Abraham, Erika [3 ]
Taccella, Armando [4 ]
机构
[1] TU Wien, Vienna, Austria
[2] Imperial Coll London, London, England
[3] Rhein Westfal TH Aachen, Aachen, Germany
[4] Univ Genoa, Genoa, Italy
关键词
REACHABILITY; BEHAVIOR;
D O I
10.4204/EPTCS.361.7
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
A swarm robotic system consists of a team of robots performing cooperative tasks without any centralized coordination. In principle, swarms enable flexible and scalable solutions; however, designing individual control algorithms that can guarantee a required global behavior is difficult. Formal methods have been suggested by several researchers as a mean to increase confidence in the behavior of the swarm. In this work, we propose to model swarms as hybrid systems and use reachability analysis to verify their properties. We discuss challenges and report on the experience gained from applying hybrid formalisms to the verification of a swarm robotic system.
引用
收藏
页码:61 / 77
页数:17
相关论文
共 50 条
  • [1] Formal Modelling and Verification approach for improving Probabilistic Behaviour of Robot Swarms
    Amin, Saifullah
    Elahil, Adnan
    Saghar, Kashif
    Mehmood, Faran
    PROCEEDINGS OF 2017 14TH INTERNATIONAL BHURBAN CONFERENCE ON APPLIED SCIENCES AND TECHNOLOGY (IBCAST), 2017, : 392 - 400
  • [2] A Counter Abstraction Technique for the Verification of Robot Swarms
    Kouvaros, Panagiotis
    Lomuscio, Alessio
    PROCEEDINGS OF THE TWENTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2015, : 2081 - 2088
  • [3] A Compositional Modelling and Verification Framework for Stochastic Hybrid Systems
    Wang, Shuling
    Zhan, Naijun
    Zhang, Lijun
    FORMAL ASPECTS OF COMPUTING, 2017, 29 (04) : 751 - 775
  • [4] Successful Swarms: Operator Situational Awareness with Modelling and Verification at Runtime
    Gu, Yue
    Hunt, William
    Archibald, Blair
    Xu, Mengwei
    Sevegnani, Michele
    Soorati, Mohammad D.
    2023 32ND IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, RO-MAN, 2023, : 541 - 548
  • [5] Runtime Verification on Hierarchical Properties of ROS-Based Robot Swarms
    Hu, Chi
    Dong, Wei
    Yang, Yonghui
    Shi, Hao
    Zhou, Ge
    IEEE TRANSACTIONS ON RELIABILITY, 2020, 69 (02) : 674 - 689
  • [6] Self-organizing nervous systems for robot swarms
    Zhu, Weixu
    Oğuz, Sinan
    Heinrich, Mary Katherine
    Allwright, Michael
    Wahby, Mostafa
    Christensen, Anders Lyhne
    Garone, Emanuele
    Dorigo, Marco
    Science Robotics, 2024, 9 (96):
  • [7] Towards Articulating Failures and Fault Trees and Verification for Building Resilience in Robot Swarms
    Akhter, Arsalan
    Bhada, Shamsnaz Virani
    Golemi, Kleo
    Murphy, Joseph
    Wyglinski, Alexander
    Pinciroli, Carlo
    Chin, Khai Yi
    2022 IEEE INTERNATIONAL SYMPOSIUM ON SYSTEMS ENGINEERING (ISSE), 2022,
  • [8] An Amalgamation of Hormone Inspired Arbitration Systems for Application in Robot Swarms
    Wilson, James
    Timmis, Jon
    Tyrrell, Andy
    APPLIED SCIENCES-BASEL, 2019, 9 (17):
  • [9] Morphogenesis in robot swarms
    Slavkov, I
    Carrillo-Zapata, D.
    Carranza, N.
    Diego, X.
    Jansson, F.
    Kaandorp, J.
    Hauert, S.
    Sharpe, J.
    SCIENCE ROBOTICS, 2018, 3 (25)
  • [10] Aerial Robot Swarms
    Kumar, Vijay
    2013 ACM/IEEE INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING IN SENSOR NETWORKS (IPSN), 2013, : 3 - 3