Closed-Loop Motion Control of Robotic Swarms - A Tether-Based Strategy

被引:6
作者
Eshaghi, Kasra [1 ]
Rogers, Andrew [1 ]
Nejat, Goldie [1 ]
Benhabib, Beno [1 ]
机构
[1] Univ Toronto, Dept Mech & Ind Engn, Toronto, ON M5S 3G8, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Sensors; Robot sensing systems; Location awareness; Robot kinematics; Task analysis; Planning; Switches; Dynamic sensors; localization; motion control; point-to-point swarm motion paths; robotic swarms; COOPERATIVE LOCALIZATION; MULTIROBOT LOCALIZATION; ENVIRONMENTS; ALGORITHM; DESIGN; LEADER;
D O I
10.1109/TRO.2022.3181055
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Swarm robots can achieve effective task execution via closed-loop motion control. However, such a goal can only be realized through accurate localization of the swarm. Past approaches have focused on addressing this issue using external sensors, static sensor networks, or through active localization-requirements that may restrict the motion of the swarm or may not be achievable in practice. We present a tether-based strategy that achieves closed-loop swarm-motion control by using a secondary team of mobile sensors. These sensors form a wireless tether that allows the swarm to indirectly sense a home base or a landmark, and to compensate for the accumulated motion errors via a closed-loop control strategy. The proposed strategy is the first to use a tether of mobile sensors that can dynamically reshape and reconnect to various points in the environment to achieve closed-loop motion control. The novelty of the strategy is in its ability to adapt to any swarm motion considered, and to be applied to swarms with limited sensing capabilities and knowledge of their environment. The performance of the proposed strategy was validated through extensive experiments.
引用
收藏
页码:3564 / 3581
页数:18
相关论文
共 50 条
  • [41] An ON-OFF Closed-Loop Control of Photoelectric Actuator Based on PLZT Ceramic
    Liu, Yafeng
    Yang, Yiwei
    Liu, Chunbo
    Wang, Xinjie
    MECHANIKA, 2023, 29 (06): : 530 - 538
  • [42] A resonant accelerometer based on electrostatic stiffness and its closed-loop control method
    Liu, Heng
    Su, Wei
    Zhang, Fu-tang
    SENSOR REVIEW, 2011, 31 (01) : 58 - 64
  • [43] Bioinspired Closed-loop CPG-based Control of a Robot Fish for Obstacle Avoidance and Direction Tracking
    Chen, Jiayong
    Yin, Bo
    Wang, Chengcai
    Xie, Fengran
    Du, Ruxu
    Zhong, Yong
    JOURNAL OF BIONIC ENGINEERING, 2021, 18 (01) : 171 - 183
  • [44] Identification of Two-Mass Mechanical Systems in Closed-Loop Speed Control
    Saarakkala, Seppo E.
    Hinkkanen, Marko
    39TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2013), 2013, : 2905 - 2910
  • [45] Double Closed-Loop Control Strategy of LCL Three-Phase Grid-Connected Inverter
    Liu, Yitao
    Jin, Dianheng
    Wang, Huaizhi
    Wang, Guibin
    Peng, Jianchun
    Yin, Shan
    IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2017, : 1107 - 1112
  • [46] Uncertain cost information sharing strategy in a closed-loop supply chain
    Meng, Qiuling
    Wan, Lijuan
    Zhao, Quanwu
    INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT, 2023, 92 (1-2) : 95 - 111
  • [47] Closed-Loop Range-Based Control of Dual-Stage Nanopositioning Systems
    Mitrovic, Aleksandra
    Nagel, William S.
    Leang, Kam K.
    Clayton, Garrett M.
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 26 (03) : 1412 - 1421
  • [48] Inductive Power Transfer Battery Charger with IR-Based Closed-Loop Control
    Chen, Po-Hsuan
    Li, Chaojie
    Dong, Zhaoyang
    Priestley, Matthew
    ENERGIES, 2022, 15 (21)
  • [49] Closed-Loop Stability and Performance Optimization in LPV Control Based on a Reduced Parameter Set
    Hoffmann, C.
    Hashemi, S. M.
    Abbas, H. S.
    Werner, H.
    2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2012, : 5146 - 5151
  • [50] Task-Dependent Adaptations in Closed-Loop Motor Control Based on Electrotactile Feedback
    Dideriksen, Jakob L.
    Mercader, Irene Uriarte
    Dosen, Strahinja
    IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2022, 52 (06) : 1227 - 1235