Scheduling Access to Shared Space in Multi-robot Systems

被引:1
|
作者
Khaluf, Yara [1 ]
Markarian, Christine [2 ]
Simoens, Pieter [1 ]
Reina, Andreagiovanni [3 ]
机构
[1] Univ Ghent, Dept Informat Technol, Ghent, Belgium
[2] Univ Paderborn, Dept Comp Sci, Paderborn, Germany
[3] Univ Sheffield, Dept Comp Sci, Sheffield S1 4DP, S Yorkshire, England
关键词
D O I
10.1007/978-3-319-59930-4_12
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Through this study, we introduce the idea of applying scheduling techniques to allocate spatial resources that are shared among multiple robots moving in a static environment and having temporal constraints on the arrival time to destinations. To illustrate this idea, we present an exemplified algorithm that plans and assigns a motion path to each robot. The considered problem is particularly challenging because: (i) the robots share the same environment and thus the planner must take into account overlapping paths which cannot happen at the same time; (ii) there are time deadlines thus the planner must deal with temporal constraints; (iii) new requests arrive without a priori knowledge thus the planner must be able to add new paths online and adjust old plans; (iv) the robot motion is subject to noise thus the planner must be reactive to adapt to online changes. We showcase the functioning of the proposed algorithm through a set of agent-based simulations.
引用
收藏
页码:144 / 156
页数:13
相关论文
共 50 条
  • [1] Distance measurment in multi-robot systems based on time shared scheduling
    Arai, Y
    Asama, H
    Kaetsu, H
    Endo, I
    DISTRIBUTED AUTONOMOUS ROBOTIC SYSTEMS, 2000, : 189 - 198
  • [2] Map acquisition in multi-robot systems based on time shared scheduling
    Arai, Y
    Asama, H
    Kaetsu, H
    DISTRIBUTED AUTONOMOUS ROBOTIC SYSTEMS 5, 2002, : 309 - 318
  • [3] Scheduling Operator Assistance for Shared Autonomy in Multi-Robot Teams
    Cai, Yifan
    Dahiya, Abhinav
    Wilde, Nils
    Smith, Stephen L.
    2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC), 2022, : 3997 - 4003
  • [4] Coordinated Multi-Robot Shared Autonomy Based on Scheduling and Demonstrations
    Hagenow M.
    Senft E.
    Orr N.
    Radwin R.
    Gleicher M.
    Mutlu B.
    Losey D.P.
    Zinn M.
    IEEE Robotics and Automation Letters, 2023, 8 (12) : 8335 - 8342
  • [5] Editorial: Multi-robot systems for space applications
    Pomares, Jorge
    Felicetti, Leonard
    Varagnolo, Damiano
    FRONTIERS IN ROBOTICS AND AI, 2023, 10
  • [6] Multi-Robot Task Scheduling
    Zhang, Yu
    Parker, Lynne E.
    2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2013, : 2992 - 2998
  • [7] Shared invariance control for constraint satisfaction in multi-robot systems
    Kimmel, Melanie
    Pfort, Jannick
    Woehlke, Jan
    Hirche, Sandra
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2019, 38 (10-11): : 1268 - 1285
  • [8] Generation of Synchronized Configuration Space Trajectories of Multi-Robot Systems
    Kabir, Ariyan M.
    Kanyuck, Alec
    Malhan, Rishi K.
    Shembekar, Aniruddha V.
    Thakar, Shantanu
    Shah, Brual C.
    Gupta, Satyandra K.
    2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2019, : 8683 - 8690
  • [9] Real-time scheduling of distributed multi-robot manipulator systems
    Yuan, P
    Moallem, A
    Patel, RV
    TRANSACTIONS OF THE CANADIAN SOCIETY FOR MECHANICAL ENGINEERING, 2005, 29 (02) : 179 - 194
  • [10] An optimization-based shared control framework with applications in multi-robot systems
    Fang, Hao
    Shang, Chengsi
    Chen, Jie
    SCIENCE CHINA-INFORMATION SCIENCES, 2018, 61 (01)