This paper extends the RRT* algorithm, a recently developed but widely used sampling based optimal motion planner, in order to effectively handle nonlinear kinodynamic constraints. Nonlinearity in kinodynamic differential constraints often leads to difficulties in choosing an appropriate distance metric and in computing optimized trajectory segments in tree construction. ; To tackle these two difficulties, this work adopts the affine quadratic regulator-based pseudo-metric as the distance measure and utilizes iterative two-point boundary value problem solvers to compute the optimized segments. The proposed extension then preserves the inherent asymptotic optimality of the RRT* framework, while efficiently handling a variety of kinodynamic constraints. Three numerical case studies validate the applicability of the proposed method.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 28, number 1 (2018) ; kliknij tutaj, żeby przejść
Biblioteka Uniwersytetu Zielonogórskiego
14 lip 2025
7 lip 2025
48
https://zbc.uz.zgora.pl/repozytorium/publication/100750
| Nazwa wydania | Data |
|---|---|
| Iterative methods for efficient sampling-based optimal motion planning of nonlinear systems | 14 lip 2025 |
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