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About

Devi Parikh is a prominent AI researcher whose work sits at the intersection of embodied artificial intelligence, vision-and-language understanding, and interactive learning. She has made foundational contributions to the field of embodied AI, most notably through the development of **Habitat**, a high-performance photorealistic simulation platform that has become a cornerstone infrastructure for training and evaluating virtual robots in 3D environments, amassing nearly 200 citations since its 2019 release. Complementing this, her work on **DD-PPO** (Decentralized Distributed Proximal Policy Optimization) demonstrated that near-perfect point-goal navigation agents could be trained at massive scale — across 2.5 billion frames — advancing the state of distributed reinforcement learning with over 170 citations. Parikh has also pushed boundaries in vision-and-language navigation, exploring sim-to-real transfer and interactive dialogue-driven navigation through systems like VISITRON. More recently, her research has expanded into generative AI, with text-conditioned 3D human motion generation via **Make-An-Animation**. Her broader portfolio reflects a consistent drive to build AI agents that perceive, reason, communicate, and act in complex visual worlds — making her a defining voice in modern embodied and multimodal AI research.