Chapter 13: Differential Models, Planning Algorithms. S. M. LaValle. Cambridge University Press, Cambridge, U.K., 2006. [pdf] [Entire Book].
Chapter 14: Sampling-Based Planning Under Differential Constraints, Planning Algorithms. S. M. LaValle. Cambridge University Press, Cambridge, U.K., 2006. [pdf] [Entire Book].
Chapter 15: System Theory and Analytical Techniques, Planning Algorithms. S. M. LaValle. Cambridge University Press, Cambridge, U.K., 2006. [pdf] [Entire Book].
Rendezvous without coordinates. J. Yu, D. Liberzon, and S. M. LaValle. In IEEE Conference Decision and Control, 2008. Under review, [pdf] [ps.gz].
Time-optimal paths for a Dubins airplane. H. Chitsaz and S. M. LaValle. In Proceedings IEEE Conference Decision and Control, 2007. To appear, [pdf] [ps.gz].
Simple and efficient algorithms for computing smooth, collision-free feedback laws. S. R. Lindemann and S. M. LaValle. International Journal of Robotics Research, 2006. Under review, [pdf] [ps.gz].
Smooth feedback for car-like vehicles in polygonal environments. S. R. Lindemann and S. M. LaValle. In Proceedings IEEE International Conference on Robotics and Automation, 2007. [pdf] [ps.gz].
Minimum wheel-rotation paths for differential drive mobile robots among piecewise smooth obstacles. H. Chitsaz and S. M. LaValle. In Proceedings IEEE International Conference on Robotics and Automation, 2007. [pdf] [ps.gz].
An explicit characterizaton of minimum wheel-rotation paths for differential-drives. H. Chitsaz, S. M. LaValle, D. J. Balkcom, and M. T. Mason. In Proceedings 12th IEEE International Conference on Methods and Models in Automation and Robotics, 2006. [pdf] [ps.gz].
Minimum wheel-rotation paths for differential-drive mobile robots. H. Chitsaz, S. M. LaValle, D. J. Balkcom, and M. T. Mason. In Proceedings IEEE International Conference on Robotics and Automation, 2006. [pdf] [ps.gz].
A multiresolution approach for motion planning under differential constraints. S. R. Lindemann and S. M. LaValle. In Proceedings IEEE International Conference on Robotics and Automation, 2006. [pdf] [ps.gz].
Computing smooth feedback plans over cylindrical algebraic decompositions. S. R. Lindemann and S. M. LaValle. In Proceedings Robotics: Science and Systems, 2006. [pdf] [ps.gz].
Real time feedback control for nonholonomic mobile robots with obstacles. S. R. Lindemann, I. I. Hussein, and S. M. LaValle. In Proceedings IEEE Conference Decision and Control, 2006. [pdf] [ps.gz].
Smoothly blending vector fields for global robot navigation. S. R. Lindemann and S. M. LaValle. In Proceedings IEEE Conference Decision and Control, pages 3353--3559, 2005. [pdf] [ps.gz].
Improving the performance of sampling-based planners by using a symmetry-exploiting gap reduction algorithm. P. Cheng, E. Frazzoli, and S. M. LaValle. In Proceedings IEEE International Conference on Robotics and Automation, 2004. [pdf] [ps.gz].
Exploiting group symmetries to improve precision in kinodynamic and nonholonomic planning. P. Cheng, E. Frazzoli, and S. M. LaValle. In Proceedings IEEE/RSJ International Conference on Intelligent Robots and Systems, 2003. [pdf] [ps.gz].
From dynamic programming to RRTs: Algorithmic design xof feasible trajectories. S. M. LaValle. In A. Bicchi, H. I. Christensen, and D. Prattichizzo, editors, Control Problems in Robotics, pages 19--37. Springer-Verlag, Berlin, 2002. [pdf] [ps.gz].
Resolution complete rapidly-exploring random trees. P. Cheng and S. M. LaValle. In Proceedings IEEE International Conference on Robotics and Automation, pages 267--272, 2002. [pdf] [ps.gz].
Randomized kinodynamic planning. S. M. LaValle and J. J. Kuffner. International Journal of Robotics Research, 20(5):378--400, May 2001. [pdf] [ps.gz].
RRT-based trajectory design for autonomous automobiles and spacecraft. P. Cheng, Z. Shen, and S. M. LaValle. Archives of Control Sciences, 11(3-4):167--194, 2001. [pdf] [ps.gz].
Algorithms for computing numerical optimal feedback motion strategies. S. M. LaValle and P. Konkimalla. International Journal of Robotics Research, 20(9):729--752, September 2001. [pdf] [ps.gz].
Rapidly-exploring random trees: Progress and prospects. S. M. LaValle and J. J. Kuffner. In B. R. Donald, K. M. Lynch, and D. Rus, editors, Algorithmic and Computational Robotics: New Directions, pages 293--308. A K Peters, Wellesley, MA, 2001. [pdf] [ps.gz].
Reducing metric sensitivity in randomized trajectory design. P. Cheng and S. M. LaValle. In Proceedings IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 43--48, 2001. [pdf] [ps.gz].
Robot motion planning: A game-theoretic foundation. S. M. LaValle. Algorithmica, 26(3):430--465, 2000. [pdf] [ps.gz].
Using randomization to find and optimize feasible trajectories for nonlinear systems. P. Cheng, Z. Shen, and S. M. LaValle. In Proceedings Annual Allerton Conference on Communications, Control, Computing, pages 926--935, 2000. [pdf] [ps.gz].
Randomized kinodynamic planning. S. M. LaValle and J. J. Kuffner. In Proceedings IEEE International Conference on Robotics and Automation, pages 473--479, 1999. [pdf] [ps.gz].
Efficient computation of optimal navigation functions for nonholonomic planning. P. Konkimalla and S. M. LaValle. In Proceedings First IEEE International Workshop on Robot Motion and Control, pages 187--192, 1999. [pdf] [ps.gz].
Rapidly-exploring random trees: A new tool for path planning. S. M. LaValle. TR 98-11, Computer Science Dept., Iowa State University, Oct. 1998, [pdf] [ps.gz].
On motion planning in changing, partially-predictable environments. S. M. LaValle and R. Sharma. International Journal of Robotics Research, 16(6):775--805, December 1997. [pdf] [ps.gz].
A game-theoretic framework for robot motion planning. S. M. LaValle. PhD thesis, University of Illinois, Urbana, IL, July 1995. [pdf] [ps.gz].