Prerna Agarwal

Papers

Total Citations

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About

Prerna Agarwal is a researcher at the forefront of human-robot interaction and hybrid process automation. Her most impactful work, "Situated Tangible Robot Programming" (2017, 32 citations), introduces an intuitive paradigm where robots are programmed by placing tangible "blocks" directly in their workspace. This approach allows users to annotate objects, specify locations, and define action sequences, enabling the robot to compile programs from physical interactions—democratizing robot programming for non-experts. More recently, Agarwal has advanced the field of hybrid automation with her 2023 paper on bootstrapping conversational interfaces for IT operations. This work addresses the challenge of automating knowledge-intensive processes by seamlessly blending human expertise with bot-driven tasks, creating adaptive systems that learn from natural language interactions. Her research bridges the gap between tangible, embodied programming and sophisticated conversational AI, demonstrating a unique ability to make complex automation accessible and practical. With a growing citation footprint, Agarwal's contributions are shaping how we think about intuitive human-machine collaboration in both physical and digital domains.