Narinder Singh
Papers
1
Total Citations
31
H-Index
1
About
Narinder Singh is a leading researcher in artificial intelligence and robotics, with a primary focus on the simulation and development of embodied agents within complex 3D virtual environments. His work bridges the critical gap between theoretical AI models and real-world robotic applications, providing essential tools for training and evaluating autonomous systems. His most-cited paper, "A review of platforms for simulating embodied agents in 3D virtual environments" (2022), has garnered 31 citations, establishing itself as a foundational reference for researchers selecting appropriate simulation platforms. This comprehensive review systematically analyzes the capabilities, limitations, and trade-offs of major simulation environments, offering clear guidance for designing robust AI experiments. Singh’s contributions are particularly valuable for advancing research in reinforcement learning, human-robot interaction, and multi-agent systems, where realistic simulation is paramount. By synthesizing disparate platforms and highlighting best practices, he has accelerated progress in creating more capable and adaptable embodied agents, making his work indispensable for students and researchers entering this rapidly evolving field.
Research Focus
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Top Papers
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