PROSPECTS FOR THE DEVELOPMENT OF QUADRUPED ROBOTS WITH VOICE CONTROL FUNCTIONALITY
DOI:
https://doi.org/10.35546/kntu2078-4481.2025.4.2.3Keywords:
quadruped robot, robotics, voice control, human-robot interaction, artificial intelligence, reinforcement learning, speech recognition, large language models.Abstract
The current stage of robotics development is characterized by a transition from deterministic specialized systems to intelligent autonomous systems capable of functioning in complex and unpredictable environments. Quadruped mobile robots are particularly noteworthy, combining high stability, passability, and maneuverability, ensuring efficiency where wheeled or tracked mobile platforms lose their performance. At the same time, the development of such systems remains a challenging task that requires improvements in mechanical architecture, optimization of energy consumption, and the introduction of new control algorithms and human-robot interaction systems. The aim of the research is to conduct a comprehensive analysis of the current state of development of quadruped robots and to identify prospects for their improvement. The analysis identified the main trends in the development of the industry: improvement of bionic design solutions, introduction of artificial intelligence technologies (in particular, deep learning with reinforcement) into motion control systems, and development of natural language interaction between humans and robots. Based on the generalization of the data, a conceptual architecture of an intelligent quadruped robot with integrated voice control is proposed, combining modules of artificial intelligence, speech recognition, and computer vision. The practical significance of the work lies in the formation of a generalized model of human-robot interaction capable of providing intuitive control of mobile platforms and increasing the efficiency of their use in complex real-world conditions, in which the robot must not only respond to human voice commands, but also take into account the visual context.
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