Smooth Path Planning for Robot Docking in Unknown Environment with Obstacles. (8th November 2018)
- Record Type:
- Journal Article
- Title:
- Smooth Path Planning for Robot Docking in Unknown Environment with Obstacles. (8th November 2018)
- Main Title:
- Smooth Path Planning for Robot Docking in Unknown Environment with Obstacles
- Authors:
- Cui, Peng
Yan, Weisheng
Cui, Rongxin
Yu, Jiahui - Other Names:
- Ju Zhaojie Guest Editor.
- Abstract:
- Abstract : This paper presents an integrated approach to plan smooth path for robots docking in unknown environments with obstacles. To determine the smooth collision-free path in obstacle environment, a tree structure with heuristic expanding strategy is designed as the foundation of path planning in this approach. The tree employs 3D Dubins curves as its branches and foundation for path feasibility evaluation. For the efficiency of the tree expanding in obstacle environment, intermediate nodes and collision-free branches are determined inspired by the elastic band theory. A feasible path is chosen as the shortest series of branches that connects to the docking station after the sufficient expansion of the tree. Simulation results are presented to show the validity and feasibility of the proposed approach.
- Is Part Of:
- Complexity. Volume 2018(2018)
- Journal:
- Complexity
- Issue:
- Volume 2018(2018)
- Issue Display:
- Volume 2018, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 2018
- Issue:
- 2018
- Issue Sort Value:
- 2018-2018-2018-0000
- Page Start:
- Page End:
- Publication Date:
- 2018-11-08
- Subjects:
- Chaotic behavior in systems -- Periodicals
Complexity (Philosophy) -- Periodicals
003 - Journal URLs:
- https://onlinelibrary.wiley.com/journal/10990526 ↗
http://onlinelibrary.wiley.com/ ↗
https://www.hindawi.com/journals/complexity/ ↗ - DOI:
- 10.1155/2018/4359036 ↗
- Languages:
- English
- ISSNs:
- 1076-2787
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3364.585500
British Library HMNTS - ELD Digital store - Ingest File:
- 22601.xml