Provably Safe Multi-Robot Coordination With Unreliable Communication

被引:16
作者
Mannucci, Anna [1 ]
Pallottino, Lucia [1 ]
Pecora, Federico [2 ]
机构
[1] Univ Pisa, Res Ctr E Piaggio, I-56122 Pisa, Italy
[2] Orebro Univ, Ctr Appl Autonomous Sensor Syst, SE-70182 Orebro, Sweden
基金
欧盟地平线“2020”;
关键词
Multi-robot systems; planning; scheduling and coordination; formal methods in robotics and automation; DECENTRALIZED CONTROL; CONTROL-SYSTEMS; CONSTRAINTS; TIME;
D O I
10.1109/LRA.2019.2924849
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Coordination is a core problem in multi-robot systems, since it is a key to ensure safety and efficiency. Both centralized and decentralized solutions have been proposed, however, most assume perfect communication. This letter proposes a centralized method that removes this assumption, and is suitable for fleets of robots driven by generic second-order dynamics. We formally prove that: first, safety is guaranteed if communication errors are limited to delays; and second, the probability of unsafety is bounded by a function of the channel model in networks with packet loss. The approach exploits knowledge of the network's non-idealities to ensure the best possible performance of the fleet. The method is validated via several experiments with simulated robots.
引用
收藏
页码:3232 / 3239
页数:8
相关论文
共 50 条
[21]   Energy-Constrained Coordination of Multi-Robot Teams [J].
Setter, Tina ;
Egerstedt, Magnus .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2017, 25 (04) :1257-1263
[22]   Advanced approaches for multi-robot coordination in logistic scenarios [J].
Farinelli, Alessandro ;
Boscolo, Nicolo' ;
Zanotto, Elena ;
Pagello, Enrico .
ROBOTICS AND AUTONOMOUS SYSTEMS, 2017, 90 :34-44
[23]   A Multi-robot Coordination System based on RFID technology [J].
Baglietto, Marco ;
Cannata, Giorgio ;
Capezio, Francesco ;
Grosso, Alberto ;
Sgorbissa, Antonio .
ICAR: 2009 14TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS, VOLS 1 AND 2, 2009, :612-617
[24]   Balanced Partitioning of Workspace for Efficient Multi-Robot Coordination [J].
Gautam, Avinash ;
Ram, S. P. Arjun ;
Shekhawat, Virendra Singh ;
Mohan, Sudeept .
2017 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (IEEE ROBIO 2017), 2017, :104-109
[25]   A machine-learning approach to multi-robot coordination [J].
Wang, Ying ;
de Silva, Clarence W. .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2008, 21 (03) :470-484
[26]   Policy Search for Multi-Robot Coordination under Uncertainty [J].
Amato, Christopher ;
Konidaris, George ;
Anders, Ariel ;
Cruz, Gabriel ;
How, Jonathan P. ;
Kaelbling, Leslie P. .
ROBOTICS: SCIENCE AND SYSTEMS XI, 2015,
[27]   Adaptive Robot Coordination: A Subproblem-Based Approach for Hybrid Multi-Robot Motion Planning [J].
Solis, Irving ;
Motes, James ;
Qin, Mike ;
Morales, Marco ;
Amato, Nancy M. .
IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 9 (08) :7238-7245
[28]   Efficient multi-robot path planning in real environments: a centralized coordination system [J].
Matos, Diogo Miguel ;
Costa, Pedro ;
Sobreira, Heber ;
Valente, Antonio ;
Lima, Jose .
INTERNATIONAL JOURNAL OF INTELLIGENT ROBOTICS AND APPLICATIONS, 2025, 9 (01) :217-244
[29]   Optimizing multi-robot communication under bandwidth constraints [J].
Ryan J. Marcotte ;
Xipeng Wang ;
Dhanvin Mehta ;
Edwin Olson .
Autonomous Robots, 2020, 44 :43-55
[30]   Distributed safe reinforcement learning for multi-robot motion planning [J].
Lu, Yang ;
Guo, Yaohua ;
Zhao, Guoxiang ;
Zhu, Minghui .
2021 29TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED), 2021, :1209-1214