Leveraging MuJoCo Simulations for Enhanced Classical Mechanics Learning and Practical Application

ABSTRACT Recent advancements in computer science have made simulation technologies increasingly accessible and effective for educational purposes. This paper presents a curated collection of interactive simulations developed using the MuJoCo physics engine, designed to support and enhance the teaching of physics (classical mechanics). Building on prior research advocating the use of simulations in physics education, this work introduces a structured and publicly available set of simulations that visually represent key physical phenomena. These simulations, developed with clear documentation and parameter flexibility, are designed to support theoretical understanding and facilitate practical exploration. Hosted on GitHub and Google Colab platforms, they offer educators and students a user‐friendly resource that can support exploration of classical mechanics concepts.

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Publication Details

Journal
Computer Applications in Engineering Education
Published
2026-06-08
DOI
https://doi.org/10.1002/cae.70218
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Leveraging MuJoCo Simulations for Enhanced Classical Mechanics Learning and Practical Application

Zarina Kukhayeva, Artyom Ostrikov, Dana Alina
Computer Applications in Engineering Education
Computational Physics and Python Applications
article

Leveraging MuJoCo Simulations for Enhanced Classical Mechanics Learning and Practical Application

Zarina Kukhayeva, Artyom Ostrikov, Dana Alina
article en

Abstract

ABSTRACT Recent advancements in computer science have made simulation technologies increasingly accessible and effective for educational purposes. This paper presents a curated collection of interactive simulations developed using the MuJoCo physics engine, designed to support and enhance the teaching of physics (classical mechanics). Building on prior research advocating the use of simulations in physics education, this work introduces a structured and publicly available set of simulations that visually represent key physical phenomena. These simulations, developed with clear documentation and parameter flexibility, are designed to support theoretical understanding and facilitate practical exploration. Hosted on GitHub and Google Colab platforms, they offer educators and students a user‐friendly resource that can support exploration of classical mechanics concepts.

Computer Applications in Engineering EducationVol. 34(4)
Astana Medical University (KZ), Nazarbayev University (KZ)
Quality Education
Openalex Percentile: Top 3%
Computational Physics and Python Applications
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