报告详情
Stochastic Model of Collaborative Robot Interaction in a Manufacturing Environment
编号：12
访问权限：仅限参会人
更新：2025-11-13 17:49:34 浏览：34次
拓展类型1
报告开始：暂无开始时间（Asia/Amman）
报告时间：暂无持续时间
所在会场：[暂无会议] [暂无会议段]
暂无文件
摘要
The creation of a stochastic model for collaborative robot interaction in a production setting with POMDP seeks to examine the influence of uncertainty on decision-making during robot collaboration. The model considers the restricted observations, the stochastic characteristics of state transitions, and the necessity to optimize actions based on the reward function. The simulations enabled the evaluation of the relationship between total and instantaneous rewards, model parameters, and interference levels, mirroring actual production settings. The results collected validate that the implementation of POMDP offers flexibility and adaptability to the system in response to varying scenarios and conditions. The study of the data revealed the impact of weight coefficients in the reward function on the equilibrium between productivity and safety, enabling the formulation of various interaction techniques. Simulations revealed the stability of average outcomes and the model's suitability for optimizing robotic behavior in a complex environment. The proposed method can be integrated with neural network techniques and planning algorithms that utilize the states of the production environment to enhance decision-making accuracy and efficiency. The proposed model serves as a foundation for subsequent research focused on multi-level scenarios and human-robot interaction within the context of the Industry 5.0 idea.
关键词
collaborative robots, decision-making, Industry 5.0, manufacturing environment policy, POMDP, stochastic model.
报告人
Hattar Hattar
Associate Prof. rese Zarqa University稿件作者
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重要日期
-
会议日期
12月29日
2025
至12月31日
2025
-
11月30日 2025
初稿截稿日期
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12月30日 2025
报告提交截止日期
-
12月30日 2025
注册截止日期
主办单位
国际科学联合会
承办单位
扎尔卡大学
联系方式
- Miss AsianComNet
- as******@usssociety.org
历届会议
-
2024年10月24日 泰国 Bangkok
2024亚洲通讯与网络会议
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