Improved Informed RRT* Using Gridmap Skeletonization for Mobile Robot Path Planning-Reference-Cited by-同舟云学术

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Improved Informed RRT* Using Gridmap Skeletonization for Mobile Robot Path Planning

Published:2019-09-11 Issue:11 Volume:20 Page:2033-2039
ISSN:2234-7593
Container-title:International Journal of Precision Engineering and Manufacturing
language:en
Short-container-title:Int. J. Precis. Eng. Manuf.

Author:

Ryu Hyejeong^ORCID,Park Younghoon

Funder

Korea Evaluation Institute of Industrial Technology

Kangwon National University

Korea Research Institute of Ships and Ocean engineering

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s12541-019-00224-8.pdf

Reference14 articles.

1. LaValle, S. M. (1998). Rapidly-exploring random trees: A new tool for path planning. TR 98–11, Computer Science Dept, Iowa State University.

2. Moon, C. B., & Chung, W. (2016). Practical probabilistic trajectory planning scheme based on the rapidly-exploring random trees for two-wheeled mobile robots. International Journal of Precision Engineering and Manufacturing, 17(5), 591–596.

3. Lim, S. J., & Han, C. S. (2014). Operational space path planning of the dual-arm robot for the assembly task. International Journal of Precision Engineering and Manufacturing, 15(10), 2071–2076.

4. Salzman, O., & Halperin, D. (2016). Asymptotically near-optimal RRT for fast, high-quality motion planning. IEEE Transactions on Robotics, 32(3), 473–483.

5. Karaman, S., & Frazzoli, E. (2011). Sampling-based algorithms for optimal motion planning. The International Journal of Robotics Research, 30(7), 846–894.

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