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Volumn , Issue , 2007, Pages 1260-1265

Accompanying persons with a mobile robot using motion prediction and probabilistic roadmaps

Author keywords

[No Author keywords available]

Indexed keywords

COLLISION AVOIDANCE; FORECASTING; INTELLIGENT ROBOTS; INTELLIGENT SYSTEMS; LOCATION; MOBILE ROBOTS; PROBABILITY;

EID: 51349132729     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2007.4399194     Document Type: Conference Paper
Times cited : (38)

References (17)
  • 5
    • 0027264303 scopus 로고
    • Motion planning in dynamic environments using the relative velocity paradigm
    • Paolo Fiorini and Zvi Shiller. Motion planning in dynamic environments using the relative velocity paradigm. In ICRA (1), pages 560-565, 1993.
    • (1993) ICRA , vol.1 , pp. 560-565
    • Fiorini, P.1    Shiller, Z.2
  • 6
    • 0031098777 scopus 로고    scopus 로고
    • The dynamic window approach to collision avoidance
    • March
    • Dieter Fox, Wolfram Burgard, and Sebastian Thrun. The dynamic window approach to collision avoidance. IEEE Robotics & Automation Magazine, 4(1):23-33, March 1997.
    • (1997) IEEE Robotics & Automation Magazine , vol.4 , Issue.1 , pp. 23-33
    • Fox, D.1    Burgard, W.2    Thrun, S.3
  • 7
    • 0036856028 scopus 로고    scopus 로고
    • Dynamic motion planning for mobile robots using potential field method
    • Shuzhi S. Ge and Youjing Cui. Dynamic motion planning for mobile robots using potential field method. Auton. Robots, 13(3):207-222, 2002.
    • (2002) Auton. Robots , vol.13 , Issue.3 , pp. 207-222
    • Ge, S.S.1    Cui, Y.2
  • 9
    • 0036523380 scopus 로고    scopus 로고
    • Randomized kinodynamic motion planning with moving obstacles
    • D. Hsu, R. Kindel, J.C. Latombe, and S. Rock. Randomized kinodynamic motion planning with moving obstacles. Int. J. Robotics Research, 21(3):233-255, 2002.
    • (2002) Int. J. Robotics Research , vol.21 , Issue.3 , pp. 233-255
    • Hsu, D.1    Kindel, R.2    Latombe, J.C.3    Rock, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.