Cognitive Human Modeling in Collaborative Robotics
作者： Fabio Fruggiero , Alfredo Lambiase , Sotirios Panagou , Lorenzo Sabattini
DOI: 10.1016/J.PROMFG.2020.10.082
关键词: Cognition 、 Robot 、 Human–computer interaction 、 Interoperability 、 Boosting (machine learning) 、 Computer science 、 Human–machine system 、 Artificial intelligence 、 Robotics 、 Cognitive load 、 Automotive industry
摘要: Abstract In today’s INDUSTRY 4.0 context, the growing need to improve performances and sustainability of working environment is looking forward developing interoperable service-oriented systems with real time capabilities. This boosting installation decentralized reliable robotics cells flexible cooperative They enroll smart operators’flexibility robot productivity in collaborative (properly cobots) applications. paper consists a state-of-the-art review on cognitive load manufacturing characterization human-robot collaboration. A simulated analysis cell performed. An Agent Based (AB) model presented application automotive sector. The logistics AGVs equipped manipulator. interact robots human operator. Robots collaborate they cooperate operator assisted task using Human Machine Interfaces (HMI). work-cell– set state art - measured according Functional states over different Behavioral Structures (FBS). We quantified factors while reporting interaction analysis. Some as age interface complexity recovery strategy are investigated their effect dynamic variable, i.e., physical stress properly fatigue. acts operational outcomes.
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