Yash Paul

Papers

Total Citations

H-Index

About

Yash Paul is a researcher in robotics and artificial intelligence, with a primary focus on humanoid robot navigation and cognitive systems. His most cited work, "Navigation and Cognitive Techniques for Humanoid Robots" (2023), explores the integration of advanced path-planning algorithms with cognitive architectures to enable more adaptive and autonomous behavior in humanoid platforms. This contribution addresses critical challenges in real-world robot mobility, such as dynamic obstacle avoidance and environmental understanding, bridging the gap between low-level control and high-level reasoning. While his citation count is currently modest—with 2 citations for his flagship paper—his work represents an emerging foundation for future studies in embodied AI and human-robot interaction. Paul's research is particularly relevant for students and researchers interested in the intersection of robotics, machine learning, and cognitive science, offering practical insights into how humanoid robots can navigate complex, unstructured environments. As the field progresses, his contributions are poised to gain greater recognition, especially as humanoid robots become more prevalent in industrial and service applications.