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[37] Colm O ’Dunlaing and C.K. Yap. A retraction m ethod for planning the motion
of a disc. Journal of Algorithms, 6:104-111, 1982.
[38] Mark Overmars. A random approach to path planning. Technical Report
’’RUU-CS-92-32” , Ultrecht University, Oct 1992.
[39] Mark Overmars and Petr Svestka. A probabilistic learning approach to motion
planning. Technical Report RUU-CS-94-03, Ultrecht University, Oct 1994.
[40] S. Quinlan and O. Khatib. Elastic bands: Connecting path planning and robot
control. In Proceedings IEEE International Conference on Robotics and Automation,
pages 802-807, 1993.
[41] Elon Rimon and D. E. Koditschek. Robot navigation functions on manifolds
with boundary. Adv Appl. Math, 5(l):412-442, 1990.
[42] Elon Rimon and D.E. Koditschek. The construction of analytic diffeomor-phisms
for exact robot naviation on star worlds. In Proceedings of the IEEE
International Conference on Robotics and Automation, pages 21—26, 1989.
[43] P.F. Rowat. Representing the Spatial Experience and Solving Spatial Problems
in a Simulated Robot Environment. PhD thesis, University of British Columbia,
1979.
[44] J.T . Schwartz and M. Sharir. On the ‘piano mover’ problem: II. general techniques
for computing topological properties of real algebraic manifolds. Advances
in Applied Mathematics, 4:298-351, 1983.
[45] J. R. Shewchuk. An introduction to the conjugate gradient m ethod without
the agonizing pain. http://wTvw.cs.cmu.edu/ quake-papers/painless-conjugate-gradient.
ps, 1994.
[46] M. R. Stan, W. P. Burleson, C. I. Connolly, and R. A. G rupen. Analog VLSI
for robot p ath planning. Journal of VLSI Signal Processing, 8(1):61—73, 1994.
[47] Mircea R. S tan and Waynge P. Burleson. Analog VLSI for robot path-planning.
In Asilomar Conference on Computers, Signals and Systems, pages 915-919,
1992.
[48] R.S. Sutton and A.G. Barto. Reinforcement Learning: An Introduction. MIT
Press, 1998.
[49] L. Tarassenko and A. Blake. Analogue com putation of collision-free paths.
In Proceedings of the 1991 IEEE International Conference on Robotics and
Automation, pages 540-545, 1991.
80
Reproduced with permission of the copyright owner. Further reproduction prohibited without permission.
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| Title | Slice-based path planning. - Page 94 |
| Repository email | cisadmin@lib.usc.edu |
| Full text | [37] Colm O ’Dunlaing and C.K. Yap. A retraction m ethod for planning the motion of a disc. Journal of Algorithms, 6:104-111, 1982. [38] Mark Overmars. A random approach to path planning. Technical Report ’’RUU-CS-92-32” , Ultrecht University, Oct 1992. [39] Mark Overmars and Petr Svestka. A probabilistic learning approach to motion planning. Technical Report RUU-CS-94-03, Ultrecht University, Oct 1994. [40] S. Quinlan and O. Khatib. Elastic bands: Connecting path planning and robot control. In Proceedings IEEE International Conference on Robotics and Automation, pages 802-807, 1993. [41] Elon Rimon and D. E. Koditschek. Robot navigation functions on manifolds with boundary. Adv Appl. Math, 5(l):412-442, 1990. [42] Elon Rimon and D.E. Koditschek. The construction of analytic diffeomor-phisms for exact robot naviation on star worlds. In Proceedings of the IEEE International Conference on Robotics and Automation, pages 21—26, 1989. [43] P.F. Rowat. Representing the Spatial Experience and Solving Spatial Problems in a Simulated Robot Environment. PhD thesis, University of British Columbia, 1979. [44] J.T . Schwartz and M. Sharir. On the ‘piano mover’ problem: II. general techniques for computing topological properties of real algebraic manifolds. Advances in Applied Mathematics, 4:298-351, 1983. [45] J. R. Shewchuk. An introduction to the conjugate gradient m ethod without the agonizing pain. http://wTvw.cs.cmu.edu/ quake-papers/painless-conjugate-gradient. ps, 1994. [46] M. R. Stan, W. P. Burleson, C. I. Connolly, and R. A. G rupen. Analog VLSI for robot p ath planning. Journal of VLSI Signal Processing, 8(1):61—73, 1994. [47] Mircea R. S tan and Waynge P. Burleson. Analog VLSI for robot path-planning. In Asilomar Conference on Computers, Signals and Systems, pages 915-919, 1992. [48] R.S. Sutton and A.G. Barto. Reinforcement Learning: An Introduction. MIT Press, 1998. [49] L. Tarassenko and A. Blake. Analogue com putation of collision-free paths. In Proceedings of the 1991 IEEE International Conference on Robotics and Automation, pages 540-545, 1991. 80 Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. |
