Spline-Based Robot Navigation | IEEE Conference Publication | IEEE Xplore

Spline-Based Robot Navigation


Abstract:

This paper offers a path planning algorithm based on splines. The sought path avoids the obstacles, and is smooth and short. Smoothing is used as an integral part of the ...Show More

Abstract:

This paper offers a path planning algorithm based on splines. The sought path avoids the obstacles, and is smooth and short. Smoothing is used as an integral part of the algorithm, and not only as a final improvement to a path found by other methods. In order to avoid a very difficult optimization over all the path's points, it is modeled by a sequence of splines defined by a gradually increasing number of knots
Date of Conference: 09-15 October 2006
Date Added to IEEE Xplore: 15 January 2007
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Conference Location: Beijing, China

I. Introduction

Motion planning is concerned with automatic planning of a collision-free path between initial and final configurations. The classical motion planning problem, termed the piano movers problem, is defined for complete a priori information about the obstacles in the environment. The piano movers model is formulated as follows [15]. Given are a solid object of known size and shape in two- or three-dimensional space, its initial and target position and orientation, and a set of obstacles in the environment. The shapes, positions and orientations of the obstacles in space are fully described. The task is to find a continuous path for the object from its initial position to the target position, while avoiding collisions with obstacles along the way. Because full information is assumed, the whole operation of path planning is a one-time off-line operation. The basic requirements become soundness (collision free path), completeness (guaranteed to find a path if it exists), optimality (being close to the optimal path) and complexity (time and space performance). The main difficulty of the piano movers model is to obtain a computationally efficient scheme.

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