BBoE: Leveraging Bundle of Edges for Kinodynamic Bidirectional Motion Planning
BBoE: Leveraging Bundle of Edges for Kinodynamic Bidirectional Motion Planning
This research presents BBoE, a bidirectional, kinodynamic motion planner that efficiently finds solutions in environments with varying obstacle density.
This paper introduces BBoE, a bidirectional kinodynamic motion planner that achieves high success rates and low planning times across multiple state spaces, demonstrating its effectiveness in complex environments.
Source: arXiv Robotics — research abstracts · Read original article ↗
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Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
Reported numbers
number of systems
4
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a strategy to quickly find solutions in obstacle-rich spaces by leveraging a bundle of precomputed robot motions (i.e., edges); and ii) BBoE, a robust bidirectional kinodynamic planner that utilizes this strategy to produce fast and feasible solutions. Across four systems spanning 3D to 6D state spaces, BBoE is the only planner to achieve $\geq96\%$ success on every system while attaining the lowest planning time on
Open source S3number of systems with lowest planning time
3
View original evidence
a strategy to quickly find solutions in obstacle-rich spaces by leveraging a bundle of precomputed robot motions (i.e., edges); and ii) BBoE, a robust bidirectional kinodynamic planner that utilizes this strategy to produce fast and feasible solutions. Across four systems spanning 3D to 6D state spaces, BBoE is the only planner to achieve $\geq96\%$ success on every system while attaining the lowest planning time on
Open source S3
- paper: not_reported
- code: not_reported
- weights: not_reported
- dataset: not_reported
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a strategy to quickly find solutions in obstacle-rich spaces by leveraging a bundle of precomputed robot motions (i.e., edges); and ii) BBoE, a robust bidirectional kinodynamic planner that utilizes this strategy to produce fast and feasible solutions. Across four systems spanning 3D to 6D state spaces, BBoE is the only planner to achieve $\geq96\%$ success on every system while attaining the lowest planning time on
Open source S3
three of four.
Open source S4
arXiv:2509.20333v2 Announce Type: replace Abstract: In this work, we introduce BBoE, a bidirectional, kinodynamic, sampling-based motion planner that consistently and quickly finds solutions in environments with varying obstacle clutter. The algorithm combines exploration and exploitation while relying on precomputed robot motions, resulting in efficient convergence towards the goal. Our key contributions include: i)
Open source S2
BBoE: Leveraging Bundle of Edges for Kinodynamic Bidirectional Motion Planning
Open source S1
Source：arXiv Robotics — research abstracts · arxiv.org