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Publishing Language: Chinese

INTEGRATING STATISTICAL PHYSICS INTO UNIVERSITY PHYSICS LABORATORY COURSES: THE APPLICATION OF TOY ROBOTS IN RESEARCH-BASED EXPERIMENTAL DESIGN

Luhui NING1( ), Fang WANG1, Junqing CHEN1, Wenhao HE1, Ning ZHENG2, Peng LIU2, Wei LIU2
Basic Research Center for Energy Interdisciplinary, College of Science, China University of Petroleum-Beijing, Beijing 102249
School of Physics, Beijing Institute of Technology, Beijing 100081
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Abstract

While advanced university physics experiments in fields like mechanics, optics, and electromagnetism have well-established experimental resources, laboratory projects focused on statistical physics remain relatively scarce. To address this gap, this paper introduces innovative experimental projects that incorporate recent advances in toy robot research, creating a unique platform for teaching statistical physics. These experiments are not only cost-effective, easy to operate, and highly scalable, but they also present counterintuitive phenomena that require students to conduct precise statistical analyses, deepening their understanding of the underlying physical principles. Through these experiments, students can directly engage with and master the fundamental concepts and methods of statistical physics. Particularly in advanced and open-ended experimental settings, these projects have significant potential to inspire curiosity and stimulate innovative thinking. This study contributes not only by providing a new paradigm for teaching statistical physics but also by successfully translating cutting-edge physics research into practical educational projects, thereby revitalizing university physics education.

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Physics and Engineering
Pages 241-247

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Cite this article:
NING L, WANG F, CHEN J, et al. INTEGRATING STATISTICAL PHYSICS INTO UNIVERSITY PHYSICS LABORATORY COURSES: THE APPLICATION OF TOY ROBOTS IN RESEARCH-BASED EXPERIMENTAL DESIGN. Physics and Engineering, 2025, 35(5): 241-247. https://doi.org/10.26599/PHYS.2025.9320535

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Received: 14 May 2025
Published: 06 February 2026
© 2025 Physics and Engineering.