p-Index From 2021 - 2026
5.853
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ekonomi, Bisnis dan Kewirausahaan (JEBIK) Teknik dan Ilmu Komputer Jurnal Informatika dan Teknik Elektro Terapan JAIS (Journal of Applied Intelligent System) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Measurement : Jurnal Akuntansi Jurnal Sistem dan Manajemen Industri Equilibrium: Jurnal Ilmiah Ekonomi, Manajemen dan Akuntansi Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Owner : Riset dan Jurnal Akuntansi PINUS: Jurnal Penelitian Inovasi Pembelajaran JAE (Jurnal Akuntansi dan Ekonomi) Value: Jurnal Manajemen dan Akuntansi Ilomata International Journal of Tax and Accounting Global Financial Accounting Journal Current : Jurnal Kajian Akuntansi dan Bisnis Terkini Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Advance Sustainable Science, Engineering and Technology (ASSET) ABDI MOESTOPO: Jurnal Pengabdian pada Masyarakat Jurnal Akuntansi dan Keuangan (JAK) Jurnal Ilmu Ekonomi Manajemen dan Akuntansi Media Riset Akuntansi Auditing & Informasi PERMANA : Jurnal Perpajakan, Manajemen, dan Akuntansi Conference on Community Engagement Project (Concept) Metris: Jurnal Sains dan Teknologi Al-Zayn: Jurnal Ilmu Sosial & Hukum Advance Sustainable Science, Engineering and Technology (ASSET) Mashlahah: Journal of Islamic Economics Tartib: Jurnal of Educational Management Jurnal Akuntansi
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : JAIS (Journal of Applied Intelligent System)

Adaptive Learning Model for Social Robots Using Visual and Proximity Sensors in Dynamic Educational Environments Tamamy, Aries Jehan; Pambudi, Arga Dwi; Arifin, Zaenal; Harsono, Budi
(JAIS) Journal of Applied Intelligent System Vol. 10 No. 1 (2025): April 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jais.v10i1.12997

Abstract

Social robots are increasingly being integrated into educational environments to support learning and engagement. However, most existing systems lack the adaptability required to respond appropriately to dynamic human behavior in real-time classroom settings. This paper presents an adaptive learning framework for social robots that utilizes visual and proximity sensor data to perceive human spatial context and adjust interaction strategies accordingly. A Deep Q-Network (DQN)-based reinforcement learning algorithm is employed to map environmental states to socially appropriate actions such as maintaining distance, initiating interaction, or retreating. The robot was trained in a simulated classroom environment consisting of dynamic student agents with randomized behaviors. Experimental results show that the robot achieved a cumulative reward improvement of over 500%, reduced its average distance error from 0.45 m to 0.18 m, and increased its interaction success rate from 50% to 88% over 100 training episodes. These results confirm the effectiveness of the proposed model in enabling real-time behavioral adaptation. The framework contributes to the development of context-aware, socially intelligent robotic systems capable of enhancing Human-Robot Interaction (HRI) in educational applications. Future work includes extending the model to incorporate emotional cues and real-world validation with physical robot platforms. Keywords - social robots, adaptive learning, reinforcement learning, human-robot interaction, sensor fusion, educational robotics