Visual navigation and obstacle avoidance using a steering potential function

Robotics and Autonomous Systems

Volumn 54, Issue 4, 2006, Pages 288-299

  Huang, Wesley H ^a,b   Fajen, Brett R ^b   Fink, Jonathan R ^a   Warren, William H ^c  

^a Rensselaer Polytechnic Institute   (United States)

^b RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^c BROWN UNIVERSITY   (United States)

Author keywords

Local navigation; Obstacle avoidance; Potential fields; Vision based navigation

Indexed keywords

LOCAL NAVIGATION; POTENTIAL FIELDS; VISION-BASED NAVIGATION;

CAMERAS; NAVIGATION; ROBOTS; SENSORS;

COLLISION AVOIDANCE;

EID: 33644910914     PISSN: 09218890     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.robot.2005.11.004     Document Type: Article

References (29)

1. Y. Aloimonos Is visual reconstruction necessary? Obstacle avoidance without passive ranging Journal of Robotic Systems 9 6 1992 843 858
2. J. Borenstein, and Y. Koren The vector field histogram - fast obstacle avoidance for mobile robots IEEE Transactions on Robotics and Automation 7 3 1991 278 288
3. O. Brock, O. Khatib, High-speed navigation using the global dynamic window approach, in: IEEE International Conference on Robotics and Automation, 1999, pp. 341-346
4. T. Camus, D. Coombs, M. Herman, T.-H. Hong, Real-time single-workstation obstacle avoidance using only wide-field flow divergence, in: International Conference on Pattern Recognition, vol. 3, 1996, pp. 323-330
5. C.I. Connolly, R.A. Grupen, Nonholonomic path planning using harmonic functions, Technical Report UM-CS-1994-050, University of Massachusetts at Amherst, 1994
6. G. Dudek, and M. Jenkin Computational Principles of Mobile Robotics 2000 Cambridge University Press
7. B.R. Fajen, and W.H. Warren Behavioral dynamics of steering, obstacle avoidance, and route selection Journal of Experimental Psychology: Human Perception and Performance 29 2 2003 343 362
8. B.R. Fajen, W.H. Warren, S. Termizer, and L.P. Kaebling A dynamical model of steering, obstacle avoidance, and route selection International Journal of Computer Vision 54 1-2 2003 13 34
9. W. Feiten, R. Bauer, G. Lawitzky, Robust obstacle avoidance in unknown and cramped environments, in: IEEE International Conference on Robotics and Automation, 1994, pp. 2412-2417
10. D. Fox, W. Burgard, and S. Thrun The dynamic window approach to collision avoidance IEEE Robotics & Automation Magazine 4 1 1997 23 33
11. G.C. Gini, and A. Marchi Indoor robot navigation with single camera vision Pattern Recognition in Information Systems 2002 67 76
12. J. Guldner, and V.I. Utkin Tracking the gradient of artificial potential fields: sliding mode control for mobile robots International Journal of Control 63 3 1996 417 432
13. M. Khatib, and R. Chatila An extended potential field approach for mobile robot sensor-based motions Intelligent Autonomous Systems 1995 490 496
14. O. Khatib Real-time obstacle avoidance for manipulators and mobile robots International Journal of Robotics Research 5 1 1986 90 98
15. K. Konolige, A gradient method for realtime robot control, in: IEEE/RSJ International Conference on Intelligent Robots and Systems vol. 1, 2000, pp. 639-646
16. K.J. Kyriakopoulos, P. Kakambouras, N.J. Krikelis, Potential fields for nonholonomic vehicles, in: IEEE International Symposium on Intelligent Control, 1995, pp. 461-465
17. F. Lamiraux, D. Bonnafous, Reactive trajectory deformation for nonholonomic systems: Application to mobile robots, in: IEEE International Conference on Robotics and Automation, 2002, pp. 3099-3104
18. J.-C. Latombe Robot Motion Planning 1991 Kluwer Academic Publishers
19. D.N. Lee A theory of visual control of braking based on information about time-to-collision Perception 5 1976 437 459
20. E. Rimon, and D. Koditschek Exact robot navigation using artificial potential functions IEEE Transactions on Robotics and Automation 8 5 1992 501 518
21. S.A. Roth, B. Hamner, S. Singh, M. Hwangbo, Results in combined route traversal and collision avoidance, in: International Conference on Field and Service Robotics, July 2005
22. G. Schöner, M. Dose, and C. Engels Dynamics of behavior: theory and applications for autonomous robot architectures Robotics and Autonomous Systems 16 1995 213 245
23. S. Sekhavat, M. Chyba, Nonholonomic deformation of a potential field for motion planning, in: IEEE International Conference on Robotics and Automation, 1999, pp. 817-822
24. R. Simmons, The curvature-velocity method for local obstacle avoidance, in: IEEE International Conference on Robotics and Automation, vol. 4, 1996, pp. 2275-2282
25. H.G. Tanner, S. Loizou, K.J. Kyriakopoulos, Nonholonomic stabilization with collision avoidance for mobile robots, in: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2001, pp. 1220-1225
26. C. Tomasi, T. Kanade, Shape and motion without depth, in: International Conference in Computer Vision, 1990, pp. 91-95
27. I. Ulrich, J. Borenstein, VFH+: Reliable obstacle avoidance for fast mobile robots, in: IEEE International Conference on Robotics and Automation, 1998, pp. 1572-1577
28. I. Ulrich, J. Borenstein, VFH*: Local obstacle avoidance with look-ahead verification, in: IEEE International Conference on Robotics and Automation, 2000, pp. 2505-2511
29. W.H. Warren, and B.R. Fajen From optic flow to laws of control L.M. Vaina S.A. Beardsley S. Rushton Optic Flow and Beyond 2004 Kluwer 307 333