JRM Vol.30 No.1 pp. 43-54
doi: 10.20965/jrm.2018.p0043


Development of Spatially Seamless Local Communication System Based on Time Sharing Communication Strategy

Yoshikazu Arai*, Makoto Sugawara**, Shintaro Imai*, and Toshimitsu Inomata*

*Iwate Prefectural University
152-52 Sugo, Takizawa-shi, Iwate 020-0693, Japan

**Hitachi Corporation
1-6-6 Marunouchi, Chiyoda-ku, Tokyo 100-8280, Japan

January 21, 2017
September 8, 2017
February 20, 2018
local communication, seamless communication, communication strategy, collision avoidance, motion recognition
Development of Spatially Seamless Local Communication System Based on Time Sharing Communication Strategy

Prototype of SS-LOCISS

For multiple robots to achieve complex tasks while cooperating autonomously, communication among those robots is indispensable. We have developed a local communication system, LOCISS, which uses infrared light as a medium to prevent the convergence of communication by restricting the communication area. In this system, eight pairs of transmitting and receiving elements are located all around a robot, surrounding it for communication. It is also possible for each element to transmit individual information. However, because of imperfections in their directivity, communication gaps exist between elements, preventing sequences of communication. As described in this paper, SS-LOCISS makes a robot’s surroundings spatially seamless in terms of communication by rotating transmitter and receiver. First, a method is given for restoring pulses that have an incomplete shape because of transmitter and receiver rotations. Next, restrictions that are needed for all pulses transmitted to be received are considered, and characteristics of communication strategies derived from the restrictions are verified. After that, areas of transmission and reception are defined, and transmitter and receiver structures that might allow for the exchange of individual information in every area are considered. A method of signal coding is also proposed, one that may eliminate inconsistencies occurring at the dividing lines between transmission areas due to transmitter and receiver rotations. Then, SS-LOCISS prototypes demonstrate its communication accuracy and consistency on these dividing lines. Finally, we consider ways to improve its transmission rate so that SS-LOCISS may be applied to systems.

  1. [1] K. Ozaki, H. Asama, Y. Ishida, A. Matsumoto, and I. Endo, “Collision Avoidance Using Communication Between Autonomous Mobile Robots,” J. of Robotics and Mechatronics, Vol.8, No.5, pp. 459-466, 1996.
  2. [2] F. Bullo, J. Cortés, and S. Martínez, “Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms,” Princeton University Press, 2009.
  3. [3] F.-L. Lian, Y.-C. Lin, and K.-H. Tsai, “Multi-Robot Redeployment Control for Enhancing Wireless Networking Quality,” Wireless Networking Based Control, Springer, pp. 239-269, 2010.
  4. [4] S. Suzuki, Y. Arai, S. Kotosaka, H. Asama, H. Kaetsu, and I. Endo, “Development of an Infrared Sensory System with Local Communication Facility for Collision Avoidance of Multiple Mobile Robots,” J. of Robotics and Mechatronics, Vol.9, No.5, pp. 354-361, 1997.
  5. [5] Y. Arai, T. Fujii, H. Asama, H. Kaetsu, and I. Endo, “Robust Collision Avoidance in Multi-Robot Systems – Implementation onto Real Robots –,” Distributed Autonomous Robotic Systems 3, Springer-Verlag Berlin, pp. 23-33, 1998.
  6. [6] A. Pásztor, T. Kovács, and Z. Istenes, “Compass and Odometry Based Navigation of a Mobile Robot Swarm Equipped by Bluetooth Communication,” Proc. of the IEEE Int. Joint Conf. on Computational Cybernetics and Technical Informatics, pp. 565-570, 2010.
  7. [7] R. Fitch and R. Lal, “Experiments with a ZigBee Wireless Communication System for Self-Reconfiguring Modular Robots,” Proc. of the 2009 IEEE Int. Conf. on Robotics and Automation, pp. 1947-1952, 2009.
  8. [8] R. G. Garroppo, L. Gazzarrini, S. Gioedano, and L. Tavanti, “Experimental Assessment of the Coexistence of Wi-Fi, ZigBee, and Bluetooth Devices,” Proc. of the 2011 IEEE Int. Symposium on a World of Wireless, Mobile and Multimedia Networks, pp. 1-9, 2011.
  9. [9] F. Arvin, K. Samsudin, and A. R. Ramli, “A Short-Range Infrared Communication for Swarm Mobile Robot,” Proc. of the 2009 Int. Conf. on Signal Processing Systems, pp. 454-458, 2009.
  10. [10] Á. Gutiérrez, A. Campo, M. Dorigo, J. Donate, F. Monasterio-Huelin, and L. Madgalena, “Open E-Puck Range & Bearing Miniaturized Board for Local Communication in Swarm Robotics,” Proc. of the 2009 IEEE Int. Conf. on Robotics and Automation, pp. 3111-3116, 2009.
  11. [11] A. Kemppainen, J. Haverinen, and J. Röning, “An Infrared Location System for Relative Pose Estimation of Robots,” Romansy 16 Robot Design Dynamics and Control, Springer, pp. 379-386, 2006.
  12. [12] B. Miodrag, M. Lukić, J. Bajić, B. Dakić, and M. Vukadinović, “Hardware realization of autonomous robot localization system,” Proc. of the 35th Int. Convention on Information and Communication Technology, Electronics and Microelectronics, pp. 146-150, 2012.
  13. [13] F. Gray, “Pulse code communication,” U.S. Patent 2,632,058, 1953.
  14. [14] A. Karalis, J. D. Joannopoulos, and M. Soljačić, “Efficient wireless non-radiative mid-range energy transfer,” Annals of Physics, Vol.323, Issue 1, pp. 34-48, 2008.
  15. [15] K. A. Immink and U. Gross, “Optimization of low-frequency properties of eight-to-fourteen modulation,” Radio and Electronic Engineer, Vol.53, Issue 2, pp. 63-66, 1983.

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Last updated on Mar. 16, 2018