Haotong Liang

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About

Haotong Liang is an emerging researcher at the intersection of educational robotics, autonomous scientific discovery, and machine learning. Their work centers on democratizing access to robot science systems — intelligent platforms capable of experimental design, execution, and data-driven analysis in closed-loop environments. Liang's most recognized contribution is the development of the LEGOLAS Kit, a low-cost robotic science platform designed specifically for educational settings. This innovative system integrates symbolic regression techniques to enable hypothesis discovery and validation, bringing the capabilities of autonomous "robot scientists" into classrooms and early-stage research environments at a fraction of traditional costs. The project reflects a broader vision for the next generation of physical science: systems that can independently design experiments, collect data, and derive meaningful scientific insights. With citations accumulating across multiple presentations of this work, Liang's research has attracted notable attention from the scientific education and AI communities alike. For students and researchers interested in the convergence of artificial intelligence, automated experimentation, and accessible science education, Liang's contributions represent an exciting and practical step toward truly autonomous scientific exploration.