Robotic Device Language Study Using Machine Learning
Year: 2025
Type: article
Abstract: This study explores the integration of machine learning algorithms in interpreting, developing, and optimizingrobotic device languages for autonomous communication. The research investigates how robots can be trainedto understand commands, share information, and learn languages through structured and unstructured datasets.By applying supervised and reinforcement learning methods, we aim to build a scalable linguistic modelsuitable for multi-agent robotic systems. The findings support the possibility of robots learning complexinstruction sets and executing them with minimal human intervention, which can enhance automation inindustry, health, and defense sectors.
Author: Hifzur Rahman, Syed Rehan K., Ayan Pasha, Mohammed Riyan, Ayan Khan, Shahid Ahmed, Shafaat Raza, Monish J
Language: English
Topic: Speech and dialogue systems
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W6911801863
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