Claire Schlesinger

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About

Claire Schlesinger is a rising researcher at the intersection of robotics and artificial intelligence, whose work focuses on harnessing large language models (LLMs) to democratize robot programming. Her primary research area involves developing and evaluating systems that allow non-experts to program service mobile robots using natural language commands, effectively bridging the gap between human intent and robotic action. Her most cited work, "Deploying and Evaluating LLMs to Program Service Mobile Robots" (2024), has already garnered 31 citations, demonstrating significant early impact in this rapidly evolving field. In this seminal paper, Schlesinger investigates how LLMs can generate executable robot programs that leverage mobility, perception, and human interaction capabilities—a contribution that promises to make advanced robotics accessible beyond specialized engineering teams. Her research addresses critical challenges in human-robot collaboration, including the reliability and safety of LLM-generated code for physical systems. As one of the first researchers to systematically evaluate LLMs for end-to-end service robot programming, Schlesinger is helping to shape a new paradigm where natural language becomes a primary interface for robotic control, with profound implications for industries ranging from healthcare to logistics.