Research on Cobot Action Decision-Making Method Based on Intuitionistic Fuzzy Set and Game Theory Article Swipe
Bo Liu
,
Weiping Fu
,
Wen Wang
,
Zhiqiang Gao
,
Rui Li
,
Lixia Peng
,
Huilong Du
,
Xiaohu Chen
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/access.2022.3205305
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/access.2022.3205305
The bounded rational properties of humans in human-robot collaboration (HRC) is a fundamental reason for collisions in proximity HRC. As HRC scenarios in manufacturing become increasingly popular, robot action decision-making needs to consider such properties of humans. In previous studies, humans are usually regarded as rational agents whose behaviors are predictable and planned. Still, humans are susceptible to distractions caused by external disturbances, and different cognitive processes of the task can produce unpredictable behaviors. To better simulate human bounded rational behavior, based on an intuitionistic fuzzy (IF) multi-attribute decision algorithm, we propose a cobot action decision-making method that integrates human intention, safety, and efficiency, to produce a human-like decision. We use the IF set to calculate the score and accuracy values of two Nash equilibria of a static chicken game, which can predict human action intentions with collision risk and provide optimal action decisions for the robot simultaneously. We generated 10,000 sets of data using the Monte Carlo method and validated the effectiveness of our proposed method by comparing it with MDP and POMDP methods. The results showed that the decision-making method could effectively perform the task of making action decisions for the robot. Simulation experiments and Turing test results show that our proposed method can predict a human’s subjective action decision intention in a situation with potential collision risk with 85.62% accuracy. At the same time, the experimental participants believe that the robot can get 4.83 out of 5 satisfaction points for an action decision.
Related Topics
Concepts
Computer science
Action (physics)
Task (project management)
Set (abstract data type)
Artificial intelligence
Bounded rationality
Bounded function
Robot
Fuzzy set
Fuzzy logic
Machine learning
Mathematical optimization
Mathematics
Quantum mechanics
Management
Physics
Economics
Mathematical analysis
Programming language
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2022.3205305
- https://ieeexplore.ieee.org/ielx7/6287639/6514899/09882124.pdf
- OA Status
- gold
- Cited By
- 8
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4295934660
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4295934660Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/access.2022.3205305Digital Object Identifier
- Title
-
Research on Cobot Action Decision-Making Method Based on Intuitionistic Fuzzy Set and Game TheoryWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-01Full publication date if available
- Authors
-
Bo Liu, Weiping Fu, Wen Wang, Zhiqiang Gao, Rui Li, Lixia Peng, Huilong Du, Xiaohu ChenList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2022.3205305Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/6287639/6514899/09882124.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://ieeexplore.ieee.org/ielx7/6287639/6514899/09882124.pdfDirect OA link when available
- Concepts
-
Computer science, Action (physics), Task (project management), Set (abstract data type), Artificial intelligence, Bounded rationality, Bounded function, Robot, Fuzzy set, Fuzzy logic, Machine learning, Mathematical optimization, Mathematics, Quantum mechanics, Management, Physics, Economics, Mathematical analysis, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
8Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 2, 2023: 3Per-year citation counts (last 5 years)
- References (count)
-
28Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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