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References (18)
-
D. Blanco, B. Boada, L. Moreno (2001)
Localization by Voronoi diagrams correlationProceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164), 4
-
K. Nagatani, H. Choset (1999)
Toward robust sensor based exploration by constructing reduced generalized Voronoi graphProceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289), 3
-
(2008)
Nakju Lett Doh can be contacted at: [email protected] Robust construction of a GVG using partial range data for guide robots Sunghwan Ahn -
F. Lerasle, J. Carbajo, M. Devy, J. Hayet (2003)
Environment modeling for topological navigation using visual landmarks and range data2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422), 1
-
H. Choset, K. Nagatani (2001)
Topological simultaneous localization and mapping (SLAM): toward exact localization without explicit localizationIEEE Trans. Robotics Autom., 17
-
Ya-Chun Chang, Y. Yamamoto (2006)
Dynamic Decision Making of Mobile Robot under Obstructed Environment2006 IEEE/RSJ International Conference on Intelligent Robots and Systems
-
S. Thrun, Maren Bennewitz, Wolfram Burgard, A. Cremers, F. Dellaert, D. Fox, D. Hähnel, Charles Rosenberg, N. Roy, Jamieson Schulte, D. Schulz (1999)
MINERVA: a second-generation museum tour-guide robotProceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C), 3
-
C. Ye, J. Borenstein (2002)
Characterization of a 2D laser scanner for mobile robot obstacle negotiationProceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292), 3
-
H. Choset, J. Burdick
Sensor based motion planning: incremental construction of the hierarchical generalized Voronoi graph -
Kok Chong, L. Kleeman (1997)
Accurate odometry and error modelling for a mobile robotProceedings of International Conference on Robotics and Automation, 4
-
H. Choset, Sean Walker, Kunnayut Eiamsa-Ard, J. Burdick (2000)
Sensor-Based Exploration: Incremental Construction of the Hierarchical Generalized Voronoi GraphThe International Journal of Robotics Research, 19
-
N. Doh, W. Chung, Sungon Lee, Sang-Rok Oh, Bum-Jae You (2003)
A robust general Voronoi graph based SLAM for a hyper symmetric environmentProceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), 1
-
D. Zwynsvoorde, T. Siméon, R. Alami (2001)
Building topological models for navigation in large scale environmentsProceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164), 4
-
E. Masehian, M. Amin-Naseri, S. Khadem (2003)
Online motion planning using incremental construction of medial axis2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422), 3
-
R. Moratz, J. Wallgrün (2003)
Propagation of distance and orientation intervalsProceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), 4
-
10.1109/TRO.2004.835454
-
Ji Lee, H. Choset (2002)
Sensor-based exploration for convex bodies: a new roadmap for a convex-shaped robotIEEE Transactions on Robotics, 21
-
R. Mahkovic, Tomaz Slivnik (1998)
Generalized local Voronoi diagram of visible regionProceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146), 1
- Publisher
- Emerald Publishing
- Copyright
- Copyright © 2008 Emerald Group Publishing Limited. All rights reserved.
- ISSN
- 0143-991X
- DOI
- 10.1108/01439910810868598
- Publisher site
- See Article on Publisher Site
Abstract
Purpose – The purpose of this paper is to describe research to enable a robust navigation of guide robots in erratic environments with partial sensor information. Design/methodology/approach – Two techniques were developed. One is a robust node discrimination method by using an adaptive sensor matching method. The other is a robot navigation technique with partial sensor information. Findings – A successful navigation was implemented in erratic environments using partial sensor information. Originality/value – First robot navigation is addressed along the generalized Voronoi graph (GVG) with partial sensor information. A solution is also provided for a phantom node detection problem, which is one of the main defects in GVG navigation.
Journal
Industrial Robot: An International Journal – Emerald Publishing
Published: May 2, 2008
Keywords: Robotics; Navigation; Sensors; Data analysis