DOI QR코드

DOI QR Code

노약자의 낙상가능지역 진입방지를 위한 보안로봇의 주행경로제어

Navigation Trajectory Control of Security Robots to Restrict Access to Potential Falling Accident Areas for the Elderly

  • 진태석 (동서대학교 메카트로닉스공학과)
  • Jin, Taeseok (Dept. of Mechatronics Engineering, Dongseo University)
  • 투고 : 2015.02.15
  • 심사 : 2015.03.15
  • 발행 : 2015.06.01

초록

One of the goals in the field of mobile robotics is the development of personal service robots for the elderly which behave in populated environments. In this paper, we describe a security robot system and ongoing research results that minimize the risk of the elderly and the infirm to access an area to enter restricted areas with high potential for falls, such as stairs, steps, and wet floors. The proposed robot system surveys a potential falling area with an equipped laser scanner sensor. When it detects walking in elderly or infirm patients who in restricted areas, the robot calculates the velocity vector, plans its own path to forestall the patient in order to prevent them from heading to the restricted area and starts to move along the estimated trajectory. The walking human is assumed to be a point-object and projected onto a scanning plane to form a geometrical constraint equation that provides position data of the human based on the kinematics of the mobile robot. While moving, the robot continues these processes in order to adapt to the changing situation. After arriving at an opposite position to the human's walking direction, the robot advises them to change course. The simulation and experimental results of estimating and tracking of the human in the wrong direction with the mobile robot are presented.

키워드

참고문헌

  1. I. Nakatani, H. Saito, T. Kubot, et al., "Micro scanning laser range sensor for planetary exploration," Proc. of International Conference on Integrated Micro/Nanotechnology for Space Application, 1995.
  2. T. Jin, J. M. Lee, and H. Hashimoto, "Position estimation of mobile robot using images of moving target in intelligent space with distributed sensors," Advanced Robotics, The Robotics Society of Japan, vol. 20, no. 6, pp. 737-762, Jun. 2006.
  3. O. C. Jenkins, G. G. Serrano, and M. M. Loper, "Recognizing human pose and actions for interactive robots," I-Tech Education and Publishing, pp. 119-138, 2007.
  4. S. H. Choi, G. J. Kim, Y. K. Kim, and J. M. Lee, "Outdoor Positioning estimation of multi-GPS / INS integrated system by EKF / UPF filter conversion," Journal of Institute of Control, Robotics and System, vol. 20, no. 12, pp. 1284-1289, 2014. https://doi.org/10.5302/J.ICROS.2014.13.0014
  5. R. van der Merwe, E. Wan, S. Julier, A. Bogdanov, G. Harvey, and J. Hunt, "Sigma-point kalman filters for nonlinear estimation and sensor fusion: Applications to integrated navigation," Proc. of AIAA Guidance Navigation & Control Conference, 2004.
  6. B. H. Choi, B. S. Kim, and E. T. Kim, "Location estimation and obstacle tracking using laser scanner for indoor mobile robots," Journal of Korean Institute of Intelligent Systems, vol. 21, no. 3, pp. 329-334, 2011. https://doi.org/10.5391/JKIIS.2011.21.3.329
  7. S. M. Lavalle and R. Sharma, "On motion planning in changing partially predictable environments," The International Journal of Robotics Research, vol 16, no. 6, pp. 705-805, Dec. 1997.
  8. M. W. Spong and M. Vidyasagar, Robot Dynmics and Control, John Wiley & Sons, Inc. 1989.
  9. H. S Lim, D. H. Lee, and J. M. Lee, "Moving object following by a mobile robot using a single curvature trajectory and Kalman filters," Journal of Institute of Control, Robotics and System (in Korean), vol. 19, no. 7, pp. 599-604, 2013. https://doi.org/10.5302/J.ICROS.2013.13.1875
  10. X. Shao, H. Zhao, K. Nakamura, R. Shibasaki, R. Zhang, and Z. Liu, "Analyzing pedestrian's walking pattern using single-row laser range scanners," Proc. of the IEEE International Conference on Systems, Man, and Cybernetics (SMC2006), vol. 2, pp. 1202-1207, 2006.
  11. A. K. Jain, R. P. W. Duin, and J. Mao, "Statistical pattern recognition: A review," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 1, pp. 4-37, 2000. https://doi.org/10.1109/34.824819
  12. M. L. Walters, K. Dautenhahn, K. L. Koay, C. Kaouri, R. te Boekhorst, C. Nehaniv, I. Werry, and D. Lee, "Close encounters: Spatial distances between people and a robot of mechanistic appearance," Proc. of 2005 5th IEEE-RAS International Conference on Humanoid Robots, Tsukuba, Japan, pp. 450-455, Dec. 2005.
  13. T. S. Jin and H. Hashimoto, "3D walking human detection and tracking based on the IMPRESARIO Framework," International Journal of Fuzzy Logic and Intelligent Systems, vol. 8, no. 3, pp. 163-169, 2008. https://doi.org/10.5391/IJFIS.2008.8.3.163
  14. KirstenGotz-Neumann, "Gehen verstehen: Ganganalyse in der Physiotherapie," Thieme, 2005.