Multi-layer Motion Planning with Kinodynamic and Spatio-Temporal Constraints

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Chatrola, Jeel, Ajith, Abhiroop, Leahy, Kevin, Chamzas, Constantinos
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866915297394425856
author Chatrola, Jeel
Ajith, Abhiroop
Leahy, Kevin
Chamzas, Constantinos
author_facet Chatrola, Jeel
Ajith, Abhiroop
Leahy, Kevin
Chamzas, Constantinos
contents We propose a novel, multi-layered planning approach for computing paths that satisfy both kinodynamic and spatiotemporal constraints. Our three-part framework first establishes potential sequences to meet spatial constraints, using them to calculate a geometric lead path. This path then guides an asymptotically optimal sampling-based kinodynamic planner, which minimizes an STL-robustness cost to jointly satisfy spatiotemporal and kinodynamic constraints. In our experiments, we test our method with a velocity-controlled Ackerman-car model and demonstrate significant efficiency gains compared to prior art. Additionally, our method is able to generate complex path maneuvers, such as crossovers, something that previous methods had not demonstrated.
format Preprint
id arxiv_https___arxiv_org_abs_2503_07762
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Multi-layer Motion Planning with Kinodynamic and Spatio-Temporal Constraints
Chatrola, Jeel
Ajith, Abhiroop
Leahy, Kevin
Chamzas, Constantinos
Robotics
We propose a novel, multi-layered planning approach for computing paths that satisfy both kinodynamic and spatiotemporal constraints. Our three-part framework first establishes potential sequences to meet spatial constraints, using them to calculate a geometric lead path. This path then guides an asymptotically optimal sampling-based kinodynamic planner, which minimizes an STL-robustness cost to jointly satisfy spatiotemporal and kinodynamic constraints. In our experiments, we test our method with a velocity-controlled Ackerman-car model and demonstrate significant efficiency gains compared to prior art. Additionally, our method is able to generate complex path maneuvers, such as crossovers, something that previous methods had not demonstrated.
title Multi-layer Motion Planning with Kinodynamic and Spatio-Temporal Constraints
topic Robotics
url https://arxiv.org/abs/2503.07762