The robust construction of a generalized Voronoi graph (GVG) using partial range data for guide robots

Industrial Robot - Tập 35 Số 3 - Trang 259-265 - 2008
SunghwanAhn1, NakjuLett Doh2, WanKyun Chung1, SangYep Nam3
1Robotics and Bio‐mechatronics Laboratory, Mechanical Engineering, POSTECH, Pohang, South Korea
2Robotics Laboratory, School of Electrical Engineering, Korea University, Seoul, Korea
3Department of Information and Communication, Kyungmoon College, Kyeongki, South Korea

Tóm tắt

PurposeThe 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/approachTwo 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.FindingsA successful navigation was implemented in erratic environments using partial sensor information.Originality/valueFirst 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.

Từ khóa


Tài liệu tham khảo

Blanco, D., Boada, D.L. and Moreno, L. (2001), “Localization by Voronoi diagrams correlation”, IEEE Int. Conf. on Robotics and Automation, pp. 4232‐7.

Chong, K.S. and Kleeman, L. (1997), “Accurate odometry and error modelling for a mobile robot”, IEEE Int. Conf. on Robotics and Automation, pp. 2783‐8.

Choset, H. and Burdick, J. (2000), “Sensor based motion planning: incremental construction of the hierarchical generalized Voronoi graph”, Int. J. of Robotics Research, Vol. 19 No. 2, pp. 126‐48.

Choset, H. and Nagatani, K. (2001), “Topological simultaneous localization and mapping (SLAM): toward exact localization without explicit localization”, IEEE Trans. on Robotics and Automation, Vol. 17 No. 2, pp. 125‐37.

Doh, N.L., Lee, S., Chung, W.K., Oh, S.R. and Yu, B.J. (2003), “A robust generalized Voronoi graph based slam for hyper symmetric environment”, IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 218‐23.

Lee, J.Y. and Choset, H. (2005), “Sensor‐based exploration for convex bodies: a new roadmap for a convex‐shaped robot”, IEEE Trans. on Robotics, Vol. 21 No. 2, pp. 240‐7.

Lerasle, F., Carbajo, J., Devy, M. and Hayet, J.B. (2003), “Environment modeling for topological navigation using visual landmarks and range data”, IEEE Int. Conf. on Robotics and Automation, pp. 1330‐5.

Mahkovic, R. and Slivnik, T. (1998), “Generalized local Voronoi diagram of visible region”, IEEE Int. Conf. on Robotics and Automation, pp. 349‐55.

Masehian, E., Amin‐Naseri, M.R. and Khadem, S.E. (2003), “Online motion planning using incremental construction of medial axis”, IEEE Int. Conf. on Robotics and Automation, pp. 2928‐33.

Moratz, R. and Wallgrün, J.O. (2003), “Propagation of distance and orientation intervals”, IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 3245‐50.

Nagatani, K. and Choset, H. (1999), “Toward robust sensor based exploration by constructing reduced generalized Voronoi graph”, IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 1687‐92.

Thrun, S., Bennewitz, M., Burgard, W., Cremers, A.B., Dellaert, F., Fox, D., Hahnel, D., Rosenberg, C., Roy, N., Schulte, J. and Schulz, D. (1999), “MINERVA: a second‐generation museum tour‐guide robot”, IEEE Int. Conf. on Robotics and Automation, pp. 1999‐2005.

Ya‐Chun, C. and Yamamoto, Y. (2006), “Dynamic decision making of mobile robot under obstructed environment”, IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 4091‐6.

Ye, C. and Borenstein, J. (2002), “Characterization of 2‐D laser scanner for mobile robot obstacle negotiation”, IEEE Int. Conf. on Robotics and Automation, pp. 2512‐8.

Zwynsvoorde, D.V., Simeon, T. and Alami, R. (2001), “Building topological models for navigation in large scale environments”, IEEE Int. Conf. on Robotics and Automation, pp. 4256‐61.