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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | LaValle, S.M. Kuffner Jr., J.J. |
| Copyright Year | 1999 |
| Description | Author affiliation: Dept. of Comput. Sci., Iowa State Univ., Ames, IA, USA (LaValle, S.M.) |
| Abstract | The paper presents a state-space perspective on the kinodynamic planning problem, and introduces a randomized path planning technique that computes collision-free kinodynamic trajectories for high degree-of-freedom problems. By using a state space formulation, the kinodynamic planning problem is treated as a 2n-dimensional nonholonomic planning problem, derived from an n-dimensional configuration space. The state space serves the same role as the configuration space for basic path planning. The bases for the approach is the construction of a tree that attempts to rapidly and uniformly explore the state space, offering benefits that are similar to those obtained by successful randomized planning methods, but applies to a much broader class of problems. Some preliminary results are discussed for an implementation that determines the kinodynamic trajectories for hovercrafts and satellites in cluttered environments resulting in state spaces of up to twelve dimensions. |
| Starting Page | 473 |
| Ending Page | 479 |
| File Size | 839869 |
| Page Count | 7 |
| File Format | |
| ISBN | 0780351800 |
| ISSN | 10504729 |
| DOI | 10.1109/ROBOT.1999.770022 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-05-10 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Path planning State-space methods Orbital robotics Vehicle dynamics Kinematics Trajectory Mobile robots Computer science Space exploration Velocity control |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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