Deepti Prit Kaur
Papers
2
Total Citations
38
H-Index
2
About
Deepti Prit Kaur is a researcher at the forefront of embodied artificial intelligence and real-time computer vision systems. Her work bridges the gap between virtual simulation environments and hardware-accelerated visual processing, addressing critical challenges in autonomous robotics and intelligent surveillance. Kaur's highly cited review on platforms for simulating embodied agents in 3D virtual environments (31 citations) has become a foundational resource for researchers developing AI agents that interact with complex, realistic spaces. This work systematically evaluates simulation tools, enabling more efficient design of autonomous systems. Complementing this, her comprehensive survey on FPGA-based feature extraction for real-time computer vision (7 citations) tackles the pressing need for low-latency, energy-efficient visual processing in defense, security, and robotics applications. By exploring hardware acceleration strategies, Kaur's research empowers the deployment of sophisticated computer vision algorithms in resource-constrained environments. Her contributions are particularly notable for their practical orientation, offering clear pathways from theoretical frameworks to implementable systems. Through these influential surveys, Deepti Prit Kaur has established herself as a key voice in advancing both the simulation and hardware implementation of intelligent visual agents.
Research Focus
Key Achievements
Top Papers
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- 2