Verification of visibility-based properties on multiple moving robots in an environment with obstacles

被引:2
|
作者
Sheshkalani, Ali Narenji [1 ]
Khosravi, Ramtin [1 ]
机构
[1] Univ Tehran, Sch Elect & Comp Engn, Formal Methods Lab, Tehran, Iran
来源
关键词
Formal methods for robotics; distributed robotics systems; verification; TEMPORAL LOGIC;
D O I
10.1177/1729881418786657
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
A multi-robot system consists of a number of autonomous robots moving within an environment to achieve a common goal. Each robot decides to move based on information obtained from various sensors and gathered data received through communicating with other robots. In order to prove the system satisfies certain properties, one can provide an analytical proof or use a verification method. This article presents a new notion to prove visibility-related properties of a multirobot system by introducing an automated verification method. Precisely, we propose a method to automatically generate a discrete state space of a given multi-robot system and verify the correctness of the desired properties by means of model-checking tools and algorithms. We construct the state space of a number of robots, each moves freely inside a bounded polygonal area with obstacles. The generated state space is then used to verify visibility properties (e.g. if the communication graph of robots is connected) by means of the construction and analysis of distributed processes model checker. Using our method, there is no need to analytically prove that the properties are preserved with every change in the motion strategy of the robots. We have implemented a tool to automatically generate the state space and verified some properties to demonstrate the applicability of our method in various environments.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Environment Recognition System based on Multiple Classification Analyses for Mobile Robots
    Kanda, Atushi
    Sato, Masanori
    Ishii, Kazuo
    2008 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS, VOLS 1-3, 2008, : 412 - 417
  • [32] SystemVerilog-Based Verification Environment Employing Multiple Inheritance of SystemC
    You, Myoung-Keun
    Song, Gi-Yong
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2010, E93A (05) : 989 - 992
  • [33] Multiple Clock Domain Synchronization in a QBF-based Verification Environment
    Maksimovic, Djordje
    Le, Bao
    Veneris, Andreas
    2014 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN (ICCAD), 2014, : 684 - 689
  • [34] CLF-CBF Based Quadratic Programs for Safe Motion Control of Nonholonomic Mobile Robots in Presence of Moving Obstacles
    Desai, Manavendra
    Ghaffari, Azad
    2022 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2022, : 16 - 21
  • [35] Anticipated Velocity Based Guidance Strategy for Wheeled Mobile Evaders Amidst Moving Obstacles in Bounded Environment
    Kumar, Amit
    Ojha, Aparajita
    ICT AND CRITICAL INFRASTRUCTURE: PROCEEDINGS OF THE 48TH ANNUAL CONVENTION OF COMPUTER SOCIETY OF INDIA - VOL I, 2014, 248 : 789 - 798
  • [36] A Strategy-Based Algorithm for Moving Targets in an Environment with Multiple Agents
    Afzalov A.
    Lotfi A.
    Inden B.
    Aydin M.E.
    SN Computer Science, 3 (6)
  • [37] Parts-to-picker based order processing in a rack-moving mobile robots environment
    Boysen, Nils
    Briskorn, Dirk
    Emde, Simon
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2017, 262 (02) : 550 - 562
  • [38] Adaptive Image-Based Moving-Target Tracking Control of Wheeled Mobile Robots With Visibility Maintenance and Obstacle Avoidance
    Dai, Shi-Lu
    Liang, Jianjun
    Lu, Ke
    Jin, Xu
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2024, 32 (02) : 488 - 501
  • [39] Anticipated velocity based guidance strategy for wheeled mobile evader amidst stationary and moving obstacles in bounded environment
    Kumar, Amit
    Ojha, Aparajita
    COMPUTER ANIMATION AND VIRTUAL WORLDS, 2015, 26 (05) : 495 - 507
  • [40] Multiple Properties-Based Moving Object Detection Algorithm
    Zhou, Changjian
    Xing, Jinge
    Liu, Haibo
    JOURNAL OF INFORMATION PROCESSING SYSTEMS, 2021, 17 (01): : 124 - 135