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Bioinspired Intelligent Algorithm and Its Applications for Mobile Robot Control: A Survey
Open accessAbstract
Bioinspired intelligent algorithm (BIA) is a kind of intelligent computing method, which is with a more lifelike biological working mechanism than other types. BIAs have made significant progress in both understanding of the neuroscience and biological systems and applying to various fields. Mobile robot control is one of the main application fields of BIAs which has attracted more and more attention, because mobile robots can be used widely and general artificial intelligent algorithms meet a development bottleneck in this field, such as complex computing and the dependence on high-precision sensors. This paper presents a survey of recent research in BIAs, which focuses on the research in the realization of various BIAs based on different working mechanisms and the applications for mobile robot control, to help in understanding BIAs comprehensively and clearly. The survey has four primary parts: a classification of BIAs from the biomimetic mechanism, a summary of several typical BIAs from different levels, an overview of current applications of BIAs in mobile robot control, and a description of some possible future directions for research.
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“These algorithms naturally tend to have a higher efficiency than the traditional AI methods; with the two most widely accepted categories being evolutionary and swarm algorithms [54, 55].”
From Applications and Challenges of Artificial Intelligence in Space Missions (2024) · cites this paper as [54]
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“Traditional AI algorithms are usually met with developmental constraints such as the reliance on high-precision sensors and complex computing [54] in this field.”
From Applications and Challenges of Artificial Intelligence in Space Missions (2024) · cites this paper as [54]
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Sorted by citations
Applications and Challenges of Artificial Intelligence in Space Missions
Oche, P. A., Ewa, G. A., & Ibekwe, N. (2024) · IEEE Access · doi:10.1109/access.2021.3132500 · Cited by 68
“Traditional AI algorithms are usually met with developmental constraints such as the reliance on high-precision sensors and complex computing [54] in this field.”
Background
Metadata
- Authors
- Ni, J., Wu, L., Fan, X., & Yang, S. X.
- Affiliations
- Hohai University (CN)
- University of Guelph (CA)
- Corresponding author
- Ni, Jianjun
- Venue
- Computational Intelligence and Neuroscience
- Publisher
- Wiley
- Published
- 2016
- Volume
- 2016
- Pages
- 1-16
- ISSN
- 1687-5265 (ISSN-L)
- 1687-5273
- PMC
- PMC4707020
- OpenAlex
- W2197222329
- Cited by
- 92
- References
- 2
- Citations by year
- 2026: 2 · 2025: 9 · 2024: 9 · 2023: 6 · 2022: 13 · 2021: 14 · 2020: 13 · 2019: 7 · 2018: 1 · 2017: 15 · 2016: 3
- FWCI
- 0.24
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Computational Intelligence and Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Natural Science Foundation of China (61203365, 61573128, BK2012149, 2015B20114, 2015B14614, KYLX15 0496)
- Jiangsu Province Natural Science Foundation (61203365, 61573128, BK2012149, 2015B20114, 2015B14614, KYLX15 0496)
- Fundamental Research Funds for the Central Universities (61203365, 61573128, BK2012149, 2015B20114, 2015B14614, KYLX15 0496)
- Jiangsu Province Innovation Project for Postgraduate (61203365, 61573128, BK2012149, 2015B20114, 2015B14614, KYLX15 0496)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
- Physical Sciences › Engineering › Control and Systems Engineering › Control and Dynamics of Mobile Robots
- Physical Sciences › Engineering › Control and Systems Engineering › Robotic Locomotion and Control
- Keywords
- mobile robot control, biomimetic mechanism, artificial neural networks, evolutionary algorithms, swarm intelligence, neuromorphic computing
- MeSH terms
- Algorithms, Artificial Intelligence, Humans, Man-Machine Systems, Surveys and Questionnaires, Robotics
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