Parul Pandey

Rutgers, The State University of New Jersey

Papers

Total Citations

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About

Parul Pandey’s research lies at the intersection of robotics, cloud computing, and resource-constrained systems, with a focus on enabling intelligent autonomy in challenging environments. Her most cited work, “Dynamic Collaboration Between Networked Robots and Clouds in Resource-Constrained Environments” (2015, 45 citations), pioneers frameworks for underwater mobile sensor networks—such as Autonomous Underwater Vehicles (AUVs)—to coordinate with cloud resources for applications like oceanographic data collection, environmental monitoring, and distributed surveillance. This contribution addresses critical bottlenecks in communication and computation for remote, energy-limited robots. In her more recent work, “Light-Weight Object Detection and Decision Making via Approximate Computing in Resource-Constrained Mobile Robots” (2018, 6 citations), Pandey tackles the challenge of embedding semantic understanding—such as object detection—into indoor autonomous flights, where traditional geometric maps fall short. By leveraging approximate computing, she demonstrates how to balance accuracy and efficiency, enabling real-time decision-making on platforms with severe power and processing constraints. Pandey’s research is particularly impactful for students and engineers designing resilient, intelligent systems for field robotics, offering practical pathways to deploy advanced AI in the most resource-starved settings.