Scaling the dynamic approach to path planning and control: Competition among behavioral constraints

International Journal of Robotics Research

Volumn 18, Issue 1, 1999, Pages 37-58

  Large, Edward W ^a   Christensen, Henrik I ^b   Bajcsy, Ruzena ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONSTRAINT THEORY; DECISION THEORY; MOTION PLANNING;

BEHAVIORAL CONSTRAINTS; COOPERATIVE NAVIGATION TASKS; TASK CONSTRAINT COMPETITION;

ROBOTICS;

EID: 0032715277     PISSN: 02783649     EISSN: None     Source Type: Journal    
DOI: 10.1177/02783649922066051     Document Type: Article

References (24)

1. Adams, J., Bajcsy, R., Košeck'a, J., Kumar, V., Mandelbam, R., Mintz, M., Paul, R., Wang, C.-C., Yamamoto, Y., and Min, X. 1995. Cooperative material handling by human and robotic agents: Module development and system synthesis. Proc. of the IEEE/RSJ Int. Conf. on Intell. Robots and Sys. IEEE pp. 195-197.
2. Amari, A. 1977. Dynamics of pattern formation in lateral-inhibition type neural fields. Biol. Cybernet. 27:77-87.
3. Brockett, R. W. 1994. Dynamical systems and their associated automata. In Systems and Networks: Mathematical Theory and Applications, vol. 77, Berlin: Akademi-Verlag, pp. 49-69.
4. Brooks, R. 1989. A robot that walks: Emergent behaviours from a carefully evolted network. Neural Computation 1(2):253-262.
5. Desai, J., Wang, C., Zefran, M., and Kumar, V. 1996. Motion planning for multiple mobile manipulators. Proc. of the Int. Conf. on Robot. and Automat. Madison, WI, Omnipress, pp. 477-484.
6. Engels, C., and Schöner, G. 1995. Dynamic field endow behavior-based robots with representations. Robot. Autonomous Sys. 14:55-77.
7. Guckenheimer, J., and Holmes, P. 1983. Nonlinear Oscillations, Dynamical Systems and Bifurcations of Vector Fields, Springer-Verlag, vol. 42 of Applied Mathematical Sciences, New York: Springer-Verlag.
8. Jacobs, R. A., Jordan, M. I., and Barto, A. 1990. Task decomposition through competition in a modular architecture: The what and where in vision tasks. Cognitive Science 15:219-250.
9. Jordan, M. I., and Jacobs, R. A. 1994. Hierarchical mixtures of experts and the em algorithm. Neural Computation 6:181-214.
10. Khatib, O. 1986. Real time avoidance for manipulators and mobile robots. Int. J. Robot. Res. 5(1):90-98.
11. Latombe, J. C. 1991. Robot Motion Planning. Boston, Kluwer Academic.
12. Lozano-Perez, T., and Wesley, W. A. 1979. An algorithm for planning collision-free paths among polyhedral obstacles. Comm. ACM 22(10).
13. Lumelsky, V. J., and Stepanov, A. A. 1987. Path-planning strategies for a point mobile automaton moving amidst unknow obstacles of arbitrary shape. Algorithmica 2:403-430.
14. Mallot, H., Bülthoff, H., Little, L., and Bohrer, S. 1991. Inverse-perspective mapping simplifies optical flow computation and obstacle detection. Biol. Cybernet. 64: 177-185.
15. Murray, R. M., Li, Z., and Sastry, S. S. 1991. Robotic Manipulation. New York: CRC Press.
16. Neven, H., and Schöner, G. 1996. Neural dynamics parametrically controlled by image correlations organize robot navigation. Biol. Cybernet. 75:293-301.
17. Perko, I. 1991. Differential Equations and Dynamical Systems: Texts in Applied Mathematics. Berlin: Springer-Verlag.
18. Rimon, E., and Koditschek, D. E. 1993. Exact robot navigation using artificial potential functions. IEEE Trans. Robot. Automat. 8(5):501-519.
19. Schöner, G., and Dose, M. 1992. A dynamic systems approach to task-level systems integration used to plan and control autonomous vehicle motion. Robot. Autonomous Sys. 10:253-267.
20. Schöner, G., Dose, M., and Engels, C. 1995. Dynamics of behaviour: Theory and applications for autonomous robot architectures. Robot. Autonomous Sys. 16(2):213-246.
21. Schöner, G., and Kelso, J. 1988. Dynamic pattern generation in behavioral and neural systems. Science 239:1513-1520.
22. Schwarz, J. T., and Sharir, M. 1983. On the "piano movers" problem. I. The case of two-dimensional rigid polygonal body moving amidst polygonal barriers. Comm. Pure Appl. Math. 36:345-398.
23. Steinhage, A., and Schöner, G. 1998. Dynamical systems for the behavioral organization of autonomous robot navigation. In P. S. Schenker and G. T. Mc Kee (Eds.), Sensor Fusion and Decentralized Control in Robotic Systems: Proceeding of SPIE. pp. 160-180. Bellingham, WA: SPIE Publishing.
24. Venetianer, P., Large, E. W., and Bajcsy, R. 1997. Methodology for evaluation of task performance in robotic systems: A case study in vision-based localization. Machine Vision Appl. 9:304-320.