L. PavanKalyan

Vellore Institute of Technology University

Papers

Total Citations

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About

L. PavanKalyan is a researcher at the intersection of artificial intelligence, robotics, and human-computer interaction, with a primary focus on developing intelligent systems for autonomous navigation. His most-cited work, "Speech Recognition Using Neural Network for Mobile Robot Navigation" (2020), has garnered 4 citations and represents a key contribution to the field of voice-controlled robotics. In this study, PavanKalyan pioneered the integration of neural network-based speech recognition with mobile robot control, enabling more intuitive and hands-free navigation in dynamic environments. This work addresses critical challenges in human-robot collaboration, particularly for assistive and industrial applications where voice commands can enhance operational efficiency and accessibility. His research demonstrates a practical approach to combining deep learning with real-time robotic systems, laying groundwork for future advancements in autonomous agents. PavanKalyan's contributions are particularly relevant for students and researchers exploring multimodal interaction in robotics, offering a clear example of how neural networks can bridge the gap between human speech and machine action. His work continues to inspire further investigation into natural language interfaces for robotic platforms.