Mobile robot path planning in dynamic environment based on cuckoo optimization algorithm
Nowadays, the usage of autonomous mobile robots that fulfill various activities in enormous number of applications without human’s interference in a dynamic environment are thriving. A dynamic environment is the robot’s environment which is comprised of some static obstacles as well as several movab...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2019-04-01
|
| Series: | International Journal of Advanced Robotic Systems |
| Online Access: | https://doi.org/10.1177/1729881419839575 |
| _version_ | 1818415552103710720 |
|---|---|
| author | Seyedhadi Hosseininejad Chitra Dadkhah |
| author_facet | Seyedhadi Hosseininejad Chitra Dadkhah |
| author_sort | Seyedhadi Hosseininejad |
| collection | DOAJ |
| description | Nowadays, the usage of autonomous mobile robots that fulfill various activities in enormous number of applications without human’s interference in a dynamic environment are thriving. A dynamic environment is the robot’s environment which is comprised of some static obstacles as well as several movable obstacles that their quantity and location change randomly through the time. Efficient path planning is one the significant necessities of these kind of robots to do their tasks effectively. Mobile robot path planning in a dynamic environment is finding a shortest possible path from an arbitrary starting point toward a desired goal point which needs to be safe (obstacle avoidance) and smooth as well as possible. To achieve this target, simultaneously satisfying a collection of certain constraints including the shortest, smooth, and collision free path is required. Therefore, this issue can be considered as an optimization problem, consequently solved via optimization algorithms. In this article, a new method based on cuckoo optimization algorithm is proposed for solving the mobile robot path planning problem in a dynamic environment. Furthermore, to diminish the computational complexity, the feature vector is also optimized (i.e. reduced in dimension) via a new proposed technique. The simulation results show the performance of proposed algorithm in finding a short, safe, smooth, and collision free path in different environment conditions. |
| first_indexed | 2024-12-14T11:36:48Z |
| format | Article |
| id | doaj.art-182a090c51964e54ad33bf95df29fb88 |
| institution | Directory Open Access Journal |
| issn | 1729-8814 |
| language | English |
| last_indexed | 2024-12-14T11:36:48Z |
| publishDate | 2019-04-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | International Journal of Advanced Robotic Systems |
| spelling | doaj.art-182a090c51964e54ad33bf95df29fb882022-12-21T23:02:59ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142019-04-011610.1177/1729881419839575Mobile robot path planning in dynamic environment based on cuckoo optimization algorithmSeyedhadi HosseininejadChitra DadkhahNowadays, the usage of autonomous mobile robots that fulfill various activities in enormous number of applications without human’s interference in a dynamic environment are thriving. A dynamic environment is the robot’s environment which is comprised of some static obstacles as well as several movable obstacles that their quantity and location change randomly through the time. Efficient path planning is one the significant necessities of these kind of robots to do their tasks effectively. Mobile robot path planning in a dynamic environment is finding a shortest possible path from an arbitrary starting point toward a desired goal point which needs to be safe (obstacle avoidance) and smooth as well as possible. To achieve this target, simultaneously satisfying a collection of certain constraints including the shortest, smooth, and collision free path is required. Therefore, this issue can be considered as an optimization problem, consequently solved via optimization algorithms. In this article, a new method based on cuckoo optimization algorithm is proposed for solving the mobile robot path planning problem in a dynamic environment. Furthermore, to diminish the computational complexity, the feature vector is also optimized (i.e. reduced in dimension) via a new proposed technique. The simulation results show the performance of proposed algorithm in finding a short, safe, smooth, and collision free path in different environment conditions.https://doi.org/10.1177/1729881419839575 |
| spellingShingle | Seyedhadi Hosseininejad Chitra Dadkhah Mobile robot path planning in dynamic environment based on cuckoo optimization algorithm International Journal of Advanced Robotic Systems |
| title | Mobile robot path planning in dynamic environment based on cuckoo optimization algorithm |
| title_full | Mobile robot path planning in dynamic environment based on cuckoo optimization algorithm |
| title_fullStr | Mobile robot path planning in dynamic environment based on cuckoo optimization algorithm |
| title_full_unstemmed | Mobile robot path planning in dynamic environment based on cuckoo optimization algorithm |
| title_short | Mobile robot path planning in dynamic environment based on cuckoo optimization algorithm |
| title_sort | mobile robot path planning in dynamic environment based on cuckoo optimization algorithm |
| url | https://doi.org/10.1177/1729881419839575 |
| work_keys_str_mv | AT seyedhadihosseininejad mobilerobotpathplanningindynamicenvironmentbasedoncuckoooptimizationalgorithm AT chitradadkhah mobilerobotpathplanningindynamicenvironmentbasedoncuckoooptimizationalgorithm |