Where and When to Look How to extend the myopic planning horizon

IEEE International Conference on Intelligent Robots and Systems

Volumn 1, Issue , 2003, Pages 920-927

  Nabbe, Bart ^a   Hebert, Martial ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; AUTONOMOUS AGENTS; COMPUTATIONAL GEOMETRY; COMPUTER SIMULATION; GEOGRAPHICAL REGIONS; NAVIGATION; OPTICAL RADAR; PLANNING; PROBLEM SOLVING; RANGE FINDERS; REMOTE SENSING; SENSOR DATA FUSION; STEREO VISION; THREE DIMENSIONAL COMPUTER GRAPHICS;

MYOPIC PLANNING; OUTDOOR NAVIGATION;

ROBOTICS;

EID: 0346991673     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. M. Dias and A. Stentz. A free market architecture for distributed control of a multirobot system. In Proceedings of the 6 th International Conference on Intelligent Autonomous Systems, Venice, Italy, July 2000.
2. H. Gonz'alez-B'años and J.C. Latombe. Planning robot motions for range-image acquisition and automatic 3d model construction. In Integrated Planning for Autonomous Agent Architectures, AAAI Fall Symposium Series, 1998.
3. H. H. Gonz'alez-Banos and J. C. Latombe. Robot navigation for automatic model construction using safe regions. In Proceedings of International Symposium on Experimental Robotics, pages 405-415, 2000.
4. H. H. Gonz'alez-Banos and J. C. Latombe. Navigation strategies for exploring indoor environments. Submitted to the International Journal of Robotics Research, 2001.
5. Kiriakos N. Kutulakos and Charles R. Dyer. Recovering shape by purposive viewpoint adjustment. In Proceedings IEEE Conference Computer Vision and Pattern Recognition, CVPR, pages 16-22, Los Alamitos, California, 15-18 1992. IEEE Computer Society.
6. S. L. Laubach. Theory and Experiments in Autonomous Sensor-Based Motion Planning with Applications for Flight Planetary Microrovers. PhD thesis, California Institute of Technology, California, CA, May 1999.
7. S.L. Laubach and J. Burdick. An autonomous sensor-based path-planner for planetary microrovers. In Proceedings of the IEEE Conference of Robotics and Autonomous, 1999.
8. Jasna Maver and Ruzena Bajcsy. Occlusions as a guide for planning the next view. In IEEE Transactions Pattern Analysis Machine Intelligence, volume 15(5), 1993.
9. Stewart Moorehead. Autonomous Surface Exploration for Mobile Robots. PhD thesis, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, August 2001.
10. B. Nabbe and M. Hebert. Toward practical cooperative stereo for robotic colonies. In IEEE International Conference on Robotics and Automation, volume 4, pages 3328-3335. Omnipress, May 2002.
11. J. O Rourke. Art Gallery Theorems and Algorithms. Oxford University Press, New York, 1987.
12. J. Rosenblatt. DAMN: A Distributed Architecture for Mobile Navigation. PhD thesis, Carnegie Mellon University Robotics Institute, Pittsburgh, PA, 1997.
13. J. Rosenblatt. Optimal selection of uncertain actions by maximizing expected utility. Autonomous Robots, 9(1):17-25, 2000.
14. A. Stentz. The NAVLAB System for Mobile Robot Navigation. PhD thesis, Carnegie Mellon University, Pittsburgh, PA, March 1990.
15. A. Stentz. Optimal and efficient path planning for partially-known environments. In Proceedings of the IEEE International Conference on Robotics and Automation, pages 3310-3317, 1994.
16. A. Stentz. The fbcussed d* algorithm for real-time replanning. In Proceedings of the International Joint Conference on Artificial Intelligence, pages 1652-1659, 1995.
17. M.J. Swain and M.A. Stricker (editors). Promising directions in active vision. In International Journal of Computer Vision, volume 10, pages 109-126, 1993.
18. S. Thayer, B. Digney, M. Dias, A. Stentz, B. Nabbe, and M. Hebert. Distributed robotic mapping of extreme environments. In Proceedings of SPIE: Mobile Robots XV and Telemanipulator and Telepresence Technologies VII, November 2000.
19. T. Tuytelaars and L. Van Gool. Wide baseline stereo matching based on local affinely invariant regions. In Proceedings British Machine Vision Conference, 2000.