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Yuchi Zhao is pioneering the integration of large language models and robotics to create autonomous "self-driving" laboratories. Their research sits at the intersection of robotics, artificial intelligence, and chemistry, with a focus on automating complex experimental workflows. Zhao's most impactful contribution is the development of ORGANA, a robotic assistant that automates chemistry experimentation and characterization—a system that has garnered over 110 citations across related publications. Their landmark 2023 paper, "Large language models for chemistry robotics" (98 citations), demonstrates how natural language instructions can be translated into robot-executable plans using LLMs combined with task and motion planning, fundamentally changing how chemists interact with laboratory automation. Zhao has also advanced perception capabilities for robots, notably through MVTrans, which addresses the challenging problem of transparent object perception using multi-view inputs. Their work on "Steering towards safe self-driving laboratories" (2025) addresses critical safety considerations in autonomous lab systems. With over 280 total citations and multiple high-impact publications in just three years, Zhao is establishing themselves as a leading voice in the emerging field of AI-driven laboratory automation, making chemistry experimentation more efficient, reproducible, and accessible.