Volume 33 Issue 2
Mar.  2011
Turn off MathJax
Article Contents
Abstract
References
Related Articles
WANG Nan, WU Chengdong, WANG Minghui, LI Bin. Design and Implementation of the Control Station System of a Shape-shifting Search and Rescue Robot[J]. ROBOT, 2011, 33(2): 202-207.
Citation: WANG Nan, WU Chengdong, WANG Minghui, LI Bin. Design and Implementation of the Control Station System of a Shape-shifting Search and Rescue Robot[J]. ROBOT, 2011, 33(2): 202-207.
shu

Design and Implementation of the Control Station System of a Shape-shifting Search and Rescue Robot

  • 1.

    School of Information and Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China

  • 2.

    The State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China

  • 3.

    School of Information Science and Engineering, Northeastern University, Shenyang 110004, China

More Information
  • Received Date: May 05, 2010
  • Revised Date: October 10, 2010
  • Published Date: March 14, 2011
    Graphical Abstract
    • Abstract
  • According to the requirements in the fields of search and rescue application,the design criterion of control station system is proposed.Based on human-robot interaction,control station system for the shape-shifting search and rescue robot is designed,which has some features such as complete perceptive information,flexible control,friendly interface and strong interaction.The experiments in the search and rescue simulation environment demonstrate that the control station system for search and rescue robots can control their motion and exchange multi-channel information in the complex environment,which indicates the feasibility and validity of the control station system in the fields of search and rescue.
    • FullText(HTML)
    • References (10)
  • [1]
    Fong T,Thorpe C.Vehicle teleoperation interfaces[J].Autonomous Robots,2001,11(1):9-18.    
    [2]
    Casper J,Murphy R R.Human-robot interactions during the robot-assisted urban search and rescue response at the World TradeCenter[J].IEEE Transactions on Systems,Man and Cybemetics,Part B,2003,33(3):367-385.  
    [3]
    Steinfeld A.Interface lessons for fully and semi-autonomous mobilerobots[C]//4th International Conference on Robotics and Automation:Vol.3.Piscataway,NJ,USA:IEEE,2004:2752-2757.
    [4]
    唐鸿儒,宋爱国,章小兵.半自主侦察机器人的人机交互研究[J].测控技术,2006,28(7):66-69.Tang H R,Song A G,Zhang X B.Research on the human-robot interaction of semi-autonomous reconnaissance robot[J].Measurement & Control Technology,2006,28(7):66-69.
    [5]
    黄志华,屠大维,赵其杰.基于人机交互的移动服务机器人导航系统[J].机器人,2009,31(3):248-253.Huang Z H,Tu D W,Zhao Q J.A human-robot-interactionbased navigation system for mobile service robot[J].Robot,2009,31(3):248-253.
    [6]
    刘金国.链式可变形机器人的构形与运动研究[D].沈阳:中国科学院沈阳自动化研究所,2006.Liu J G.Configuration and mobility research for a link-type reconfigurable robot[D].Shenyang:Shenyang Institute of Automation,Chinese Academy of Sciences,2006.
    [7]
    曹会彬.李斌,刘金国.基于多传感器的可变形机器人自主控制方法研究[J].机器人,2007,29(5):479-484.Cao H B,Li B,Liu J G.Multi-sensor-based autonomous control for a shape-shifting robot[J].Robot,2007,29(5):479-484.
    [8]
    刘同林,李斌,吴成东,等.可变形机器人协同转向运动研究[J].机器人,2008,30(1):34-40.Liu T L,Li B,Wu C D,et al.Cooperative turning for a reconfigurable mobile robot[J].Robot,2008,30(1):34-40.
    [9]
    王明辉,马书根,李斌,等.可重构机器人体系结构及模块化控制系统的实现[J].仪器仪表学报,2006,27(10):1176-1182.Wang M H,Ma S G,Li B,et al.Control architecture and implementation of modularized control system for RPRS[J].Chinese Journal of Scientific Instrument,2006,27(10):1176-1182.
    [10]
    Wang M H,Ma S G,Li B,et al.Reconfiguration of a group of wheel-manipulator robots based on MSV and CSM[J].IEEE/ASME Transactions on Mechatronics,2009,14(2):229-239.  
    • Related Articles

  • Related Articles

    [1]MIAO Qing, SUN Chenyang, ZHANG Mingming, CHU Kaiya. Performance-based Adaptive Control Strategy for Robot-assisted Rehabilitation[J]. ROBOT, 2021, 43(5): 539-546,556. DOI: 10.13973/j.cnki.robot.200555
    [2]YU Jiancheng, SUN Zhaoyang, ZHANG Aiqun. The Present Status of Environmental Energy Harvesting and Utilization Technologyof Marine Robots[J]. ROBOT, 2018, 40(1): 89-101. DOI: 10.13973/j.cnki.robot.170284
    [3]DU Zhijiang, WANG Wei, YAN Zhiyuan, DONG Wei, WANG Weidong. A Physical Human-Robot Interaction Algorithm Based on Fuzzy Reinforcement Learning for Minimally Invasive Surgery Manipulator[J]. ROBOT, 2017, 39(3): 363-370. DOI: 10.13973/j.cnki.robot.2017.0363
    [4]WANG Minghui, MA Shugen, LI Bin, LI Nan. Steering for a Transformable Robot with Heterogeneous Modules in Narrow Space[J]. ROBOT, 2015, 37(2): 161-167. DOI: 10.13973/j.cnki.robot.2015.0161
    [5]HUANG Zhi-hua, TU Da-wei, ZHAO Qi-jie. A Human-Robot-Interaction-Based Navigation System for Mobile Service Robot[J]. ROBOT, 2009, 31(3): 248-253.
    [6]CAO Hui-bin, LI Bin, LIU Jin-guo. Multi-Sensor-Based Autonomous Control for a Shape-Shifting Robot[J]. ROBOT, 2007, 29(5): 479-484.
    [7]WANG Jing, LI Bin, MA Shu-gen, LIU Jin-guo. Control System Design and Shape Shifting Method for a Modular Shape-shifting Robot[J]. ROBOT, 2006, 28(5): 457-462.
    [8]LIU Nianqing, ZHOU Guangming, CHEN Zonghai. A New Approach of Precise Environmental Modeling Based on Multiple Ultrasonic Sensors[J]. ROBOT, 2005, 27(3): 261-266.
    [9]YUN Jin-tian, WANG Shu-xin, GUO Fu-xin, CAO Yi. Study on the Dynamics Modeling Method and Theory of Rigid-flexible Arm in Consideration of Environmental Characteristics[J]. ROBOT, 2004, 26(5): 448-453.
    [10]CAI Zi-xing, ZOU Xiao-bing. RESEARCH ON ENVIRONMENTAL COGNITION THEORY AND METHODOLOGY FOR MOBILE ROBOTS[J]. ROBOT, 2004, 26(1): 87-91.

Catalog

    Get Citation
    PDF
    XML
    Article views (45) PDF downloads (666) Cited by()
    Related
    Links： More+

    Copyright © Shenyang Institute of Automation, Chinese Academy of Sciences

    Address: 135 Chuangxin Road, Shenyang, China (110169)

    Tel: 86-024-23970050,86-024-23970088

    E-mail: jqr@sia.cn

    Email Alert

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return