August 1, 2025Journal of Physics Conference SeriesOpen Access

Reconstructed informed RRT*algorithm for robotic manipulator trajectory planning

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Authors

YCYingdong ChenNanjing University of Science and Technology HLHuawen Lin

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Implication

Proposed algorithm reduces path computation time by 28.9% compared to Informed-RRT*, highlighting improved trajectory planning efficiency for robotic manipulators.

Key Points

The Reconstructed Informed RRT* algorithm enhances trajectory planning efficiency for robotic manipulators.
It reduces path computation time by 28.9%, compared to the Informed-RRT* approach, improving overall performance.
The algorithm integrates bidirectional search and heuristic strategies to optimize path generation effectively.
Experiments confirm the algorithm's practical feasibility in complex environments with robotic arms like the UR5.

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Chen et al. (2025) studied this question.

synapsesocial.com/papers/68af4ec0ad7bf08b1ead7d12 https://doi.org/10.1088/1742-6596/3080/1/012190

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Implication

Proposed algorithm reduces path computation time by 28.9% compared to Informed-RRT*, highlighting improved trajectory planning efficiency for robotic manipulators.

Reconstructed informed RRT*algorithm for robotic manipulator trajectory planning

Discussion

Member takes

Implication

Key Points

Cite This Study

Reconstructed informed RRT*algorithm for robotic manipulator trajectory planning

Discussion

Member takes

Implication

Key Points

Cite This Study

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