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A Study on Development of a Smart Wellness Robot Platform

스마트 웰니스 로봇 플랫폼 개발에 관한 연구

  • Lee, Byoungsu (Electronic information engineering, Soonchunhyang Univ.) ;
  • Kim, Seungwoo (Electronic information engineering, Soonchunhyang Univ.)
  • 이병수 (순천향대학교 전자정보공학과) ;
  • 김승우 (순천향대학교 전자정보공학과)
  • Received : 2015.09.16
  • Accepted : 2016.01.05
  • Published : 2016.01.31

Abstract

This paper developed a home wellness robot platform to perform the roles in basic health care and life care in an aging society. A robotic platform and a sensory platform were implemented for an indoor wellness service. In the robotic platform, the precise mobility and the dexterous manipulation are not only developed in a symbiotic service-robot, but they also ensure the robot architecture of human friendliness. The mobile robot was made in the agile system, which consists of Omni-wheels. The manipulator was made in the anthropomorphic system to carry out dexterous handwork. In the sensing platform, RF tags and stereo camera were used for self and target localization. They were processed independently and cooperatively for accurate position and posture. The wellness robot platform was integrated in a real-time system. Finally, its good performance was confirmed through live indoor tests for health and life care.

본 논문에서는 노령화 사회에서 노인들의 기본 건강과 생활을 케어 할 수 있는 홈 웰니스 로봇 플랫폼을 개발한다. 실내 환경에서 웰니스 서비스에 초점을 맞추어 로봇 및 센서 플랫폼을 구현한다. 로봇플랫폼에서는 정밀제어 이동기능과 정교한 로봇 팔 및 핸드를 개발하고 인간친화형 로봇구조로 설계되어진다. 이동로봇은 옴니휠 기반의 쾌속 시스템으로 제어된다. 로봇팔은 섬세한 조작기능을 수행할 수 있도록 인간의 팔과 유사한 구조로 구현한다. 센서 플랫폼에서는 RF태그와 스테레오 카메라를 활용하여 로봇자신과 대상물체의 위치 인식시스템을 구축한다. 정확한 위치와 자세 인식을 위하여 센서 융합 알고리즘이 제안된다. 끝으로 웰니스 로봇 플랫폼의 좋은 성능들이 실시간 시험 구동을 통하여 확인되어 진다.

Keywords

References

  1. Bischoff R. HERMES "A Humannoid Mobile manipulator for service Tasks." In: Proceeding of the FSR'97 Conference on Field and Service Robots, 1997, pp508-515
  2. Connette CP, Pott A, Hagele M, Verl "A. Control of an Pseudo-Omnidirectional, Non-Holonomic, Mobile Robot based on an ICM Representation in Spherical Coordinates." In: Proceedings of the 47th IEEE conference on Decision and Control, 2008; pp 4976-4983.
  3. H. S. Ahn, J. Y. Lee, W.P.Yu, K.S.Han, "Indoor Localization Technique for Intelligent Robotic Space", Vol. 22, No. 2, pp48-57, 2007.4
  4. Jeon Hyeon-Sig, Woo Sung-Hyun, Lee Ho-Eung, Ryu In-seon, Yoon Sung-Kun, Park Hyun-ju, " A Study on Algorithm for Efficient Location Tracking in Indoor Environment", Journal of Information Technology Applications & Management Vol. 13 No. 3 pp.59-74, 2006. 9
  5. K. Harada et al., "Dynamics and Balance of a Humanoid Robot during Manipulation Tasks," IEEE Trans. on Robotics, vol. 22, No. 2, 2006, pp. 568-575 DOI: http://dx.doi.org/10.1109/TRO.2006.870649
  6. Lomg XIAO, Ye YIN, WU, Jianewi WANG, "A Large -scale RF-based indoor Localization System Using Low-complexity Gaussian Filter and Improved Bayesian ingerence" RADIOENGINEERING, VOL. 22, NO. 1, APRIL 2013.
  7. R. Tamasaki. "TDOA Location system for IEEE 802.11b WLAN." Proc. of IEEE, vol.1, pp. 980-684, 2001
  8. Cesare Alippi, Giovanni Vanini: A RSSI-based and calibrated centralized localization technique for Wireless Sensor Networks, in Proceedings of Fourth IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06), Pisa, Italy, March (2006), pp. 301-305
  9. Filonenko, Viacheslav; Cullen, Charlie; Carswell, James D. 2013. "Indoor Positioning for Smartphones Using Asynchronous Ultrasound Trilateration." 2, no. 3: 598-620. https://doi.org/10.3390/ijgi2030598
  10. R. Tamasaki. "TDOA Location system for IEEE 802.11b WLAN." Proc. of IEEE, vol.1, pp. 980-684, (2001)