Alkesh K. Srivastava
Papers
1
Total Citations
6
H-Index
1
About
Alkesh K. Srivastava is a leading researcher at the intersection of artificial intelligence, autonomous navigation, and human-robot interaction. His most impactful work centers on integrating large language models (LLMs) with robotic planning, particularly through his pioneering paper "Speech-Guided Sequential Planning for Autonomous Navigation Using Large Language Model Meta AI 3 (Llama3)" (2025, 6 citations). This contribution demonstrates how natural language commands can be translated into actionable, sequential navigation plans, bridging the gap between human speech and autonomous decision-making. Srivastava’s research addresses critical challenges in real-time, context-aware path planning, enabling robots to interpret complex instructions and adapt to dynamic environments. His work has significant implications for assistive robotics, autonomous vehicles, and smart infrastructure. By leveraging state-of-the-art LLMs like Llama3, he pushes the boundaries of how machines understand and execute human intent, making autonomous systems more intuitive and accessible. With a growing citation footprint, Srivastava is establishing himself as a key innovator in AI-driven navigation, where his findings promise to shape the next generation of intelligent, speech-responsive robots.
Research Focus
Key Achievements
Top Papers
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