Arda Yunianta
Papers
2
Total Citations
9
H-Index
2
About
Arda Yunianta explores the intersection of artificial intelligence, human-robot interaction, and smart city infrastructure, with a particular focus on socio-emotional dynamics. His research addresses the complex challenge of integrating intelligent machines—such as robots, drones, and autonomous vehicles—into human-centered urban environments. Yunianta’s most cited work, “Intelligent Socio-Emotional Control of Pedestrian Crowd behaviour inside Smart City” (2021, 6 citations), proposes frameworks for managing crowd behavior by accounting for social and emotional interactions between humans and machines in smart cities. In another notable study, “Profound correlation of human and NAO-robot interaction through facial expression controlled by EEG sensor” (2018, 3 citations), he investigates emotion recognition using brain-computer interfaces, analyzing brain signals to enable more natural human-robot communication. These contributions highlight Yunianta’s commitment to developing emotionally aware, adaptive systems that enhance coexistence between people and technology. His work is particularly relevant for researchers in affective computing, urban AI, and human-robot collaboration, offering foundational insights into how machines can interpret and respond to human emotional states in real-world settings.
Research Focus
Key Achievements
Top Papers
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