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- Kenneth Robert Alton, Ian M. Mitchell
- Proceedings 2006 IEEE International Conference on…
- 2006

Optimal path planning under full state and map knowledge is often accomplished using some variant of Dijkstra's algorithm, despite the fact that it represents the path domain as a discrete graph rather than as a continuous space. In this paper we compare Dijkstra's discrete algorithm with a variant (often called the fast marching method) which more… (More)

- Kenneth Robert Alton, Ian M. Mitchell
- SIAM J. Numerical Analysis
- 2008

The fast marching method (FMM) has proved to be a very efficient algorithm for solving the isotropic Eikonal equation. Because it is a minor modification of Dijkstra’s algorithm for finding the shortest path through a discrete graph, FMM is also easy to implement. In this paper we describe a new class of Hamilton–Jacobi (HJ) PDEs with axis-aligned… (More)

- Kenneth Robert Alton, Ian M. Mitchell
- J. Sci. Comput.
- 2012

We define a -causal discretization of static convex Hamilton-Jacobi Partial Differential Equations (HJ PDEs) such that the solution value at a grid node is dependent only on solution values that are smaller by at least . We develop a Monotone Acceptance Ordered Upwind Method (MAOUM) that first determines a consistent, -causal stencil for each grid node and… (More)

- Kenneth Robert Alton, Ian M. Mitchell
- CDC
- 2008

We present an efficient dynamic programming algorithm to solve the problem of optimal multi-location robot rendezvous. The rendezvous problem considered can be structured as a tree, with each node representing a meeting of robots, and the algorithm computes optimal meeting locations and connecting robot trajectories. The tree structure is exploited by using… (More)

- Kenneth Robert Alton, Michiel van de Panne
- Proceedings of the 2005 IEEE International…
- 2005

We present a semi-parametric control policy representation and use it to solve a series of nonholonomic control problems with input state spaces of up to 7 dimensions. A nearest-neighbor control policy is represented by a set of nodes that induce a Voronoi partitioning of the input space. The Voronoi cells then define local control actions. Direct policy… (More)

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