ROBODEXS; Multi-robot Deployment & Extraction System

被引:0
|
作者
Gray, Jeremy P. [1 ]
Mason, James R. [1 ]
Patterson, Michael S. [1 ]
Skalny, Matthew W. [1 ]
机构
[1] USA, Tank Automot Res Dev & Engn Ctr TARDEC, Warren, MI 48397 USA
来源
关键词
ROBODEXS; Marsupial; Deployment; Extraction; Multiple UGV; Modular; Scalable; Robot; Unmanned;
D O I
10.1117/12.919878
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The importance of Unmanned Ground Vehicles (UGV's) in the Military's operations is continually increasing. All Military branches now rely on advanced robotic technologies to aid in their missions' operations. The integration of these technologies has not only enhanced capabilities, but has increased personnel safety by generating larger standoff distances. Currently most UGV's are deployed by an exposed dismounted Warfighter because the Military possess a limited capability to do so remotely and can only deploy a single UGV. This paper explains the conceptual development of a novel approach to remotely deploy and extract multiple robots from a single host platform. The Robotic Deployment & Extraction System (ROBODEXS) is a result of our development research to improve marsupial robotic deployment at safe standoff distances. The presented solution is modular and scalable, having the ability to deploy anywhere from two to twenty robots from a single deployment mechanism For larger carrier platforms, multiple sets of ROBODEXS modules may be integrated for deployment and extraction of even greater numbers of robots. Such a system allows mass deployment and extraction from a single manned/unmanned vehicle, which is not currently possible with other deployment systems.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] Decomposition and Cut Generation Strategies for Solving Multi-Robot Deployment Problems
    Pacheco, Adriana
    Pralet, Cedric
    Roussel, Stephanie
    [J]. PRINCIPLES AND PRACTICE OF CONSTRAINT PROGRAMMING, CP 2019, 2019, 11802 : 472 - 487
  • [32] Distributed Multi-Robot Deployment in Dynamic Environments Using Thompson Sampling
    Chen, Ruizhu
    [J]. 2021 3RD INTERNATIONAL CONFERENCE ON MACHINE LEARNING, BIG DATA AND BUSINESS INTELLIGENCE (MLBDBI 2021), 2021, : 53 - 59
  • [33] Fast and scalable multi-robot deployment planning under connectivity constraints
    Marchukov, Yaroslav
    Montano, Luis
    [J]. 2019 19TH IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC 2019), 2019, : 47 - 53
  • [34] Multi-Robot Deployment Using a Virtual Force Approach: Challenges and Guidelines
    Sallam, Gamal
    Baroudi, Uthman
    Al-Shaboti, Mohammed
    [J]. ELECTRONICS, 2016, 5 (03)
  • [35] Unifying geometric, probabilistic, and potential field approaches to multi-robot deployment
    Schwager, Mac
    Rus, Daniela
    Slotine, Jean-Jacques
    [J]. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2011, 30 (03): : 371 - 383
  • [36] Multi-robot team response to a multi-robot opponent team
    Bruce, J
    Bowling, M
    Browning, B
    Veloso, M
    [J]. 2003 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-3, PROCEEDINGS, 2003, : 2281 - 2286
  • [37] Implementation and evaluation of a reactive multi-robot system
    Lucidarme, P
    Rongier, P
    Liégeois, A
    [J]. 2001 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS PROCEEDINGS, VOLS I AND II, 2001, : 165 - 170
  • [38] Development of Agent System for Multi-robot Search
    Omiya, Masashi
    Takimoto, Munehiro
    Kambayashi, Yasushi
    [J]. PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE (ICAART), VOL 1, 2019, : 315 - 320
  • [39] Reactivity and Social Cooperation in a Multi-Robot System
    Gharbi, Atef
    Ben Halima, Nadhir
    Gharsellaoui, Hamza
    [J]. 2015 10TH INTERNATIONAL JOINT CONFERENCE ON SOFTWARE TECHNOLOGIES (ICSOFT), VOL 1, 2015, : 253 - 260
  • [40] Multi-robot system for mapping of the unknown environment
    Vondracek, Martin
    Dekan, Martin
    Duchon, Frantisek
    Stevo, Stanislav
    [J]. SENSORS, MECHATRONICS AND AUTOMATION, 2014, 511-512 : 827 - 833