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Bibliographic Details
Main Authors: Kerimov, Nuraddin, Onegin, Aleksandr, Yakovlev, Konstantin
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2412.19567
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author Kerimov, Nuraddin
Onegin, Aleksandr
Yakovlev, Konstantin
author_facet Kerimov, Nuraddin
Onegin, Aleksandr
Yakovlev, Konstantin
contents Planning safe paths in 3D workspace for high DoF robotic systems, such as manipulators, is a challenging problem, especially when the environment is populated with the dynamic obstacles that need to be avoided. In this case the time dimension should be taken into account that further increases the complexity of planning. To mitigate this issue we suggest to combine safe-interval path planning (a prominent technique in heuristic search) with the randomized planning, specifically, with the bidirectional rapidly-exploring random trees (RRT-Connect) - a fast and efficient algorithm for high-dimensional planning. Leveraging a dedicated technique of fast computation of the safe intervals we end up with an efficient planner dubbed SI-RRT. We compare it with the state of the art and show that SI-RRT consistently outperforms the competitors both in runtime and solution cost. Our implementation of SI-RRT is publicly available at https://github.com/PathPlanning/ManipulationPlanning-SI-RRT
format Preprint
id arxiv_https___arxiv_org_abs_2412_19567
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Safe Interval Randomized Path Planning For Manipulators
Kerimov, Nuraddin
Onegin, Aleksandr
Yakovlev, Konstantin
Robotics
Planning safe paths in 3D workspace for high DoF robotic systems, such as manipulators, is a challenging problem, especially when the environment is populated with the dynamic obstacles that need to be avoided. In this case the time dimension should be taken into account that further increases the complexity of planning. To mitigate this issue we suggest to combine safe-interval path planning (a prominent technique in heuristic search) with the randomized planning, specifically, with the bidirectional rapidly-exploring random trees (RRT-Connect) - a fast and efficient algorithm for high-dimensional planning. Leveraging a dedicated technique of fast computation of the safe intervals we end up with an efficient planner dubbed SI-RRT. We compare it with the state of the art and show that SI-RRT consistently outperforms the competitors both in runtime and solution cost. Our implementation of SI-RRT is publicly available at https://github.com/PathPlanning/ManipulationPlanning-SI-RRT
title Safe Interval Randomized Path Planning For Manipulators
topic Robotics
url https://arxiv.org/abs/2412.19567