Space Data Open-Sources 'CEPSim' on GitHub: A Custom Environmental Physics Simulation Framework for Unreal Engine
Space Data has released CEPSim on GitHub, an Unreal Engine extension that separates environmental data from physical laws, enabling LLM-driven generation.
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- 📰 Published: April 24, 2026 at 19:00
- 🔍 Collected: April 24, 2026 at 10:31
- 🤖 AI Analyzed: April 25, 2026 at 02:59 (16h 27m after Collected)
Space Data Co., Ltd. (Headquarters: Minato-ku, Tokyo; CEO: Katsuya Sato; hereinafter 'Space Data') announces the release of 'CEPSim (Custom Environment Physics Simulator),' a custom environmental physics simulation framework built on Unreal Engine 5.5, primarily targeting developers and creators, published on GitHub. CEPSim is an Unreal Engine extension tool that can load arbitrary environmental data such as wind speed, electric fields, and temperature, describe and apply physical laws using Python, and visualize their behavior in 3D space in real-time. It is positioned as a 'development process support tool' that enhances convenience when creating new games and simulators, rather than being a finished game or simulator itself.
Background of the Release
Conventionally, handling new environmental conditions or physical models in Unreal Engine required adding custom implementations for each project, posing the challenge of development overhead for every extension. For example, wind simulation and electric field simulation required independent implementations, and adding or modifying environmental conditions incurred engineering costs each time.
To address this issue, CEPSim adopted an approach of separating and standardizing 'environmental data' and 'physical laws.' By describing environments in a common data format and defining physical laws via a Python-based common interface, it eliminates the need to embed custom implementations into the Unreal Engine side each time. This enables flexible operations, such as comparing multiple physical models against the same environmental data, or applying the same physical model to different environmental conditions.
This tool was developed based on the knowledge gained from Space Data's years of efforts in improving virtual space representation capabilities and cutting-edge R&D, including digital twins. The goal is to enhance convenience for developers and creators when building new games and simulators.
Key Features of CEPSim
1. Separation and Standardization of Environment and Physical Laws
Environmental data supports both vector fields (wind speed, electric fields, etc.) and scalar fields (temperature, atmospheric pressure, etc.), as well as interpolation of 3D grid data. Because physical laws are written as Python scripts, combinations of environments and physics can be freely added or replaced without altering the engine's internal code.
CEPSim Demo 1 | Demo of creating arbitrary environmental data via natural language and 3D visualization
https://youtu.be/2cTfV3KqBV0
CEPSim Demo 2 | Demo of implementing arbitrary physical laws via natural language
https://youtu.be/YhkihF1Mqj8
2. AI-native Design Philosophy
Rather than housing a dedicated AI chatbot, CEPSim adopts a design that clarifies and standardizes the notation rules for environmental data and physical laws themselves. Consequently, users can build workflows where they provide rules to general-purpose LLMs (Large Language Models) like ChatGPT to generate environmental data and physics scripts for CEPSim from natural language.
3. GitHub Release and Flexible Usage Scope
In addition to the basic structures for loading environmental data, applying physical laws, and visualization, the public repository includes sample data for wind, electric fields, temperature, etc., as well as example Python scripts. It can be used without restriction for research and educational purposes. For commercial use, we will consult with you separately regarding license conditions (details to be announced soon).
GitHub Repository: https://github.com/ryukih/CEPSim-Public
Target Users
CEPSim is an Unreal Engine extension tool primarily intended for developers and creators. It can be utilized as a foundational framework for flexibly combining environmental conditions and physical laws when creating new games, simulators, and interactive content.
Development Structure
CEPSim was developed primarily by Dr. Ryuki Hyodo and Dr. Shugo Miyamoto, who serve as CSOs (Chief Science Officers) at Space Data. Leveraging their expert knowledge in physics simulation and game engine development, it was designed with an eye on everything from R&D to practical application.
Anticipated Use Cases
Since CEPSim is a data-driven and script-driven reconfigurable framework, it is expected to be utilized in diverse areas, including:
Game, Simulator, and Interactive Content Development: Building highly expressive virtual spaces incorporating diverse environmental conditions.
Research and Development
Background of the Release
Conventionally, handling new environmental conditions or physical models in Unreal Engine required adding custom implementations for each project, posing the challenge of development overhead for every extension. For example, wind simulation and electric field simulation required independent implementations, and adding or modifying environmental conditions incurred engineering costs each time.
To address this issue, CEPSim adopted an approach of separating and standardizing 'environmental data' and 'physical laws.' By describing environments in a common data format and defining physical laws via a Python-based common interface, it eliminates the need to embed custom implementations into the Unreal Engine side each time. This enables flexible operations, such as comparing multiple physical models against the same environmental data, or applying the same physical model to different environmental conditions.
This tool was developed based on the knowledge gained from Space Data's years of efforts in improving virtual space representation capabilities and cutting-edge R&D, including digital twins. The goal is to enhance convenience for developers and creators when building new games and simulators.
Key Features of CEPSim
1. Separation and Standardization of Environment and Physical Laws
Environmental data supports both vector fields (wind speed, electric fields, etc.) and scalar fields (temperature, atmospheric pressure, etc.), as well as interpolation of 3D grid data. Because physical laws are written as Python scripts, combinations of environments and physics can be freely added or replaced without altering the engine's internal code.
CEPSim Demo 1 | Demo of creating arbitrary environmental data via natural language and 3D visualization
https://youtu.be/2cTfV3KqBV0
CEPSim Demo 2 | Demo of implementing arbitrary physical laws via natural language
https://youtu.be/YhkihF1Mqj8
2. AI-native Design Philosophy
Rather than housing a dedicated AI chatbot, CEPSim adopts a design that clarifies and standardizes the notation rules for environmental data and physical laws themselves. Consequently, users can build workflows where they provide rules to general-purpose LLMs (Large Language Models) like ChatGPT to generate environmental data and physics scripts for CEPSim from natural language.
3. GitHub Release and Flexible Usage Scope
In addition to the basic structures for loading environmental data, applying physical laws, and visualization, the public repository includes sample data for wind, electric fields, temperature, etc., as well as example Python scripts. It can be used without restriction for research and educational purposes. For commercial use, we will consult with you separately regarding license conditions (details to be announced soon).
GitHub Repository: https://github.com/ryukih/CEPSim-Public
Target Users
CEPSim is an Unreal Engine extension tool primarily intended for developers and creators. It can be utilized as a foundational framework for flexibly combining environmental conditions and physical laws when creating new games, simulators, and interactive content.
Development Structure
CEPSim was developed primarily by Dr. Ryuki Hyodo and Dr. Shugo Miyamoto, who serve as CSOs (Chief Science Officers) at Space Data. Leveraging their expert knowledge in physics simulation and game engine development, it was designed with an eye on everything from R&D to practical application.
Anticipated Use Cases
Since CEPSim is a data-driven and script-driven reconfigurable framework, it is expected to be utilized in diverse areas, including:
Game, Simulator, and Interactive Content Development: Building highly expressive virtual spaces incorporating diverse environmental conditions.
Research and Development