Yili Zhao

Papers

Total Citations

197

H-Index

About

Yili Zhao is a leading researcher in embodied artificial intelligence, with a primary focus on developing simulation platforms and training methodologies for virtual robotic agents. Their most impactful contribution is the creation of Habitat, a groundbreaking platform for embodied AI research, detailed in their highly cited 2019 paper (197 citations). Habitat comprises Habitat-Sim, a high-performance 3D simulator that enables photorealistic, efficient training of embodied agents, and Habitat-API, a modular library for tasks like navigation and instruction following. This work has fundamentally advanced the field by providing a standardized, scalable environment for training AI agents to perceive, plan, and act in complex 3D spaces, bridging the gap between simulation and real-world robotics. Zhao’s contributions have enabled researchers worldwide to accelerate progress in embodied AI, with their platform serving as a cornerstone for numerous subsequent studies. Their work exemplifies how robust simulation infrastructure can drive innovation in intelligent agent design, making Zhao a pivotal figure in the quest for autonomous, physically grounded AI systems.