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Obstacle Avoidance Planning of the Cooperative Cable Parallel Manipulators for Multiple Mobile Cranes

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Book cover Design, Analysis and Control of Cable-suspended Parallel Robots and Its Applications
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Abstract

Design model and cooperative localization scheme of the CPRMC are presented, and the improved localization algorithm based on multilateration method is designed. The global path planning of the CPRMC is performed based on the artificial potential field method with the grid method, and the sensor technology is applied to the cooperative obstacle avoidance, and combined with Matlab and LabVIEW, a co-simulation platform is built for cooperative obstacle avoidance analysis. A four-point collaborative leveling method is adopted for automatic leveling control of the platform for the CPRMC.

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References

  1. Zi B, Lin J, Qian S (2015) Localization, obstacle avoidance planning and control of a cooperative cable parallel robot for multiple mobile cranes. Robot Comput-Integr Manuf 34:105–123

    Article  Google Scholar 

  2. Zhuang Y, Wang Z, Yu H et al (2013) A robust extended H∞ filtering approach to multi-robot cooperative localization in dynamic indoor environments. Control Eng Pract 21(7):953–961

    Article  Google Scholar 

  3. Gholami M, Cai N, Brennan RW (2013) An artificial neural network approach to the problem of wireless sensors network localization. Robot Comput-Integr Manuf 29(1):96–109

    Article  Google Scholar 

  4. Sit TCH, Liu Z, Ang MH Jr et al (2007) Multi-robot mobility enhanced hop-count based localization in ad hoc networks. Robot Auton Syst 55(3):244–252

    Article  Google Scholar 

  5. Rone W, Ben-Tzvi P (2013) Mapping, localization and motion planning in mobile multi-robotic systems. Robotica 31(01):1–23

    Article  Google Scholar 

  6. Lee HC, Lee SH, Choi MH et al (2012) Probabilistic map merging for multi-robot RBPF-SLAM with unknown initial poses. Robotica 30(02):205–220

    Article  Google Scholar 

  7. Cimino M, Pagilla PR (2011) Optimal location of mouse sensors on mobile robots for position sensing. Automatica 47(10):2267–2272

    Article  MathSciNet  MATH  Google Scholar 

  8. Sharma B, Vanualailai J, Singh S (2012) Lyapunov-based nonlinear controllers for obstacle avoidance with a planar n-link doubly nonholonomic manipulator. Robot Auton Syst 60(12):1484–1497

    Article  Google Scholar 

  9. Chyan GS, Ponnambalam SG (2012) Obstacle avoidance control of redundant robots using variants of particle swarm optimization. Robot Comput-Integr Manuf 28(2):147–153

    Google Scholar 

  10. Trianni V, Nolfi S, Dorigo M (2006) Cooperative hole avoidance in a swarm-bot. Robot Auton Syst 54(2):97–103

    Article  Google Scholar 

  11. Moon J, Prasad JVR (2011) Minimum-time approach to obstacle avoidance constrained by envelope protection for autonomous UAVs. Mechatronics 21(5):861–875

    Article  Google Scholar 

  12. Liu Y, Fang S, Otsubo H et al (2013) Simulation and research on the automatic leveling of a precision stage. Comput Aided Des 45(3):717–722

    Article  Google Scholar 

  13. Qinghua X (2012) Research on Localization Algorithm in Wireless Sensor Networks. Nat Sci J Harbin Normal Univ 2:015

    Google Scholar 

  14. Ge SS, Cui YJ (2000) New potential functions for mobile robot path planning. IEEE Trans Robot Autom 16(5):615–620

    Article  Google Scholar 

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Correspondence to Bin Zi .

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Zi, B., Qian, S. (2017). Obstacle Avoidance Planning of the Cooperative Cable Parallel Manipulators for Multiple Mobile Cranes. In: Design, Analysis and Control of Cable-suspended Parallel Robots and Its Applications. Springer, Singapore. https://doi.org/10.1007/978-981-10-1753-7_8

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  • DOI: https://doi.org/10.1007/978-981-10-1753-7_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1752-0

  • Online ISBN: 978-981-10-1753-7

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