An Integrated Algorithm of CCPP Task for Autonomous Mobile Robot under Special Missions
- DOI
- 10.2991/ijcis.11.1.100How to use a DOI?
- Keywords
- Autonomous mobile robot; Complete coverage path planning (CCPP); Integrated algorithm; Chaotic path planner; Cellular decomposition approach; The Standard map
- Abstract
Due to the difficult problem of avoiding obstacles to achieve the complete coverage path planning (CCPP) for special missions, this paper introduces a novel integrated algorithm of CCPP for autonomous mobile robot under an obstacles-included environment. The algorithm combines cellular decomposition approach and the Standard map together for designing. The cellular decomposition approach is used to simplify the given workplace into smaller sub-regions for coverage via a chaotic path planner. The planner is constructed based on the chaotic Standard map at full mapping and produces the needed trajectories inside each decomposed sub-region. The simulation results verify the effectiveness of the designed method.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
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TY - JOUR AU - Caihong Li AU - Zhiqiang Wang AU - Chun Fang AU - Zhenying Liang AU - Yong Song AU - Yibin Li PY - 2018 DA - 2018/08/13 TI - An Integrated Algorithm of CCPP Task for Autonomous Mobile Robot under Special Missions JO - International Journal of Computational Intelligence Systems SP - 1357 EP - 1368 VL - 11 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.11.1.100 DO - 10.2991/ijcis.11.1.100 ID - Li2018 ER -