Chaotic Motion Planning for Mobile Robots: Progress, Challenges, and Opportunities
Chaotic path planners are a subset of path planning algorithms that use chaotic dynamical systems to generate trajectories throughout an environment. These path planners are imperative in surveillance tasks in the presence of adversarial agents which require the paths to be unpredictable while at th...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10332172/ |
| _version_ | 1797401043765559296 |
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| author | Farida Ahuraka Patrick Mcnamee Qixu Wang Zahra Nili Ahmadabadi Jeffrey Hudack |
| author_facet | Farida Ahuraka Patrick Mcnamee Qixu Wang Zahra Nili Ahmadabadi Jeffrey Hudack |
| author_sort | Farida Ahuraka |
| collection | DOAJ |
| description | Chaotic path planners are a subset of path planning algorithms that use chaotic dynamical systems to generate trajectories throughout an environment. These path planners are imperative in surveillance tasks in the presence of adversarial agents which require the paths to be unpredictable while at the same time guaranteeing complete coverage of the environments. In the online coverage of unknown terrain, the chaotic path planning algorithms can work without the need of the environment map and the designer has additional control over the generated paths relative to other heuristic coverage path planners such as random-walk algorithms. Although chaotic path planners have been studied over the past two decades, there has not been an updated survey on the advances. This paper presents an up-to-date review by providing: an introduction of commonly used chaotic systems and methods for their manipulation; an overview of obstacle avoidance methods used by chaotic path planners; and a discussion on other applications, challenges, and research gaps. |
| first_indexed | 2024-03-09T02:04:11Z |
| format | Article |
| id | doaj.art-cd14231e9f614d9182e6c24b9dfb0919 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-09T02:04:11Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-cd14231e9f614d9182e6c24b9dfb09192023-12-08T00:05:28ZengIEEEIEEE Access2169-35362023-01-011113491713493910.1109/ACCESS.2023.333737110332172Chaotic Motion Planning for Mobile Robots: Progress, Challenges, and OpportunitiesFarida Ahuraka0Patrick Mcnamee1https://orcid.org/0000-0001-9303-6931Qixu Wang2Zahra Nili Ahmadabadi3https://orcid.org/0000-0003-3226-4425Jeffrey Hudack4Department of Mechanical Engineering, Wichita State University, Wichita, KS, USADepartment of Mechanical Engineering, San Diego State University, San Diego, CA, USADepartment of Mechanical Engineering, San Diego State University, San Diego, CA, USADepartment of Mechanical Engineering, San Diego State University, San Diego, CA, USAInformation Directorate, Air Force Research Laboratory, Rome, NY, USAChaotic path planners are a subset of path planning algorithms that use chaotic dynamical systems to generate trajectories throughout an environment. These path planners are imperative in surveillance tasks in the presence of adversarial agents which require the paths to be unpredictable while at the same time guaranteeing complete coverage of the environments. In the online coverage of unknown terrain, the chaotic path planning algorithms can work without the need of the environment map and the designer has additional control over the generated paths relative to other heuristic coverage path planners such as random-walk algorithms. Although chaotic path planners have been studied over the past two decades, there has not been an updated survey on the advances. This paper presents an up-to-date review by providing: an introduction of commonly used chaotic systems and methods for their manipulation; an overview of obstacle avoidance methods used by chaotic path planners; and a discussion on other applications, challenges, and research gaps.https://ieeexplore.ieee.org/document/10332172/Autonomous robotschaospath planningnonlinear dynamical systemsrobot motion |
| spellingShingle | Farida Ahuraka Patrick Mcnamee Qixu Wang Zahra Nili Ahmadabadi Jeffrey Hudack Chaotic Motion Planning for Mobile Robots: Progress, Challenges, and Opportunities IEEE Access Autonomous robots chaos path planning nonlinear dynamical systems robot motion |
| title | Chaotic Motion Planning for Mobile Robots: Progress, Challenges, and Opportunities |
| title_full | Chaotic Motion Planning for Mobile Robots: Progress, Challenges, and Opportunities |
| title_fullStr | Chaotic Motion Planning for Mobile Robots: Progress, Challenges, and Opportunities |
| title_full_unstemmed | Chaotic Motion Planning for Mobile Robots: Progress, Challenges, and Opportunities |
| title_short | Chaotic Motion Planning for Mobile Robots: Progress, Challenges, and Opportunities |
| title_sort | chaotic motion planning for mobile robots progress challenges and opportunities |
| topic | Autonomous robots chaos path planning nonlinear dynamical systems robot motion |
| url | https://ieeexplore.ieee.org/document/10332172/ |
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