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Author:

Liu, Xiaomin (Liu, Xiaomin.) | Zhu, Feng (Zhu, Feng.)

Indexed by:

EI Scopus SCIE

Abstract:

We present a novel vision servoing method, which is fit for climbing robots and those in unstructured environments, based on texture analysis. A large textured area is the target for observation. After the definition of texture element distribution density, the relationship between the change of the density at some selected points and the camera pose is deduced. The vision servoing control law, which meets the requirement of Lyapunov stability is designed in this paper. Experiments show the effectiveness of this method.

Keyword:

Texture Robot Vision Control Vision Servoing Station Keeping

Author Community:

  • [ 1 ] [Liu, Xiaomin]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China
  • [ 2 ] [Zhu, Feng]Chinese Acad Sci, Shenyang Inst Automat, Shenyang 110016, Peoples R China

Reprint Author's Address:

  • [Liu, Xiaomin]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China

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Source :

INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS

ISSN: 1729-8814

Year: 2013

Volume: 10

2 . 3 0 0

JCR@2022

ESI Discipline: ENGINEERING;

JCR Journal Grade:4

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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