• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

MIEM Begins Open Testing of Claw Engine 2.0

MIEM Begins Open Testing of Claw Engine 2.0

© iStock

The team at MIEM’s Game Engineering and Interactive Systems studio has begun open testing of the second version of its game engine, Claw Engine. The HSE News Service takes a closer look at the product, which is being developed by MIEM’s student project teams.

Claw Engine is a video game development tool based on generative neural network technologies, designed for rapid prototyping of game concepts and implementing complex gameplay mechanics. The large-scale project has been in development for nearly two years by student teams from the Game Engineering and Interactive Systems studio at MIEM. The first version of the engine was launched in autumn 2024, focusing on a basic architecture and a simplified visual interface. It allowed users to work with 3D graphics and to code their own gameplay scenarios.

Ilya Semichasnov

‘Claw Engine’s goal is to replace discontinued foreign game engines, automate routine tasks, optimise the game development process, and make it easier to build not just games, but other interactive applications as well. Both novice programmers and experienced developers can use the engine: beginners will benefit from its intuitive interface and low-code approach, while professionals can make use of the C# programming language to refine projects in greater depth,’ explained Ilya Semichasnov, head of the Game Engineering and Interactive Systems studio.

In June 2025, open testing of the second version of the game engine began, attracting over 600 developers. The latest release demonstrates how an experimental idea has evolved into a technologically mature product.

‘Claw Engine 2.0 is not just an update. It is now a fully modular platform—a transition to a genuine engineering product with an architecture built for growth, scalability, and real-world application,’ said Vladimir Nikitin, project lead for Claw Engine and deputy head of the Game Engineering and Interactive Systems studio.

The new release features a completely redesigned visual scene editor, support for user-defined scripts in C#, a performance optimisation system, and a unique level-of-detail algorithm. This algorithm takes into account not just the distance to the camera but also spatial relationships between objects. This approach significantly reduces system load, enabling projects to run even on low-powered devices—a major technological advance, especially for the education and indie development sectors.

‘We are building an engine where you do not just piece scenes together—you can implement your own tech solutions in graphics, behaviour, and physics. It is a way for students and early-career developers to develop real engineering thinking through hands-on experience,’ added Ilya Semichasnov.

The open testing of Claw Engine 2.0 is a significant step not only in the product’s development but also in its move beyond the university. Developers from across Russia have gained access to the build and are helping to fine-tune its performance under various conditions.

The team’s immediate plans include the integration of next-generation graphics and physics modules, the expansion of AI capabilities, and the development of a plugin system. The engine is being developed iteratively, with active feedback from the developer community. In December 2024, Claw Engine was showcased at RED EXPO—the flagship event of Russia’s gaming industry. Visitors had the opportunity to test a pre-alpha version of the engine and explore its key features, including working with 3D scenes, a basic editor, and support for user-created scripts. In May 2025, the project was also presented at Positive Hack Days, one of the largest tech forums in the country. The team demonstrated how Claw Engine can be used in both engineering and educational settings—from modelling object behaviour to creating interactive environments. Participation in these events marked a significant step forward in the engine’s development and helped raise its profile in professional circles.

© iStock

Claw Engine has already served as a foundation for hackathons, academic courses, graduation projects, and R&D experiments. It is now firmly embedded in MIEM’s educational and project-based ecosystem.

The development of Claw Engine brings together several independent student projects operating within MIEM’s innovative project-based model. Today, the teams have established technical workflows, a robust testing system, and are actively building internal documentation and user support structures.

‘Claw Engine is one of MIEM’s flagship projects where the modern project-based model is being put into practice. Today’s tech initiatives require well-organised collaboration between multiple project teams, each tackling a different part of a unified, large-scale product. That is exactly how major IT companies work. In this sense, the Game Engineering and Interactive Systems studio functions as a central hub—the main operator overseeing the entire production process,’ said Ilya Semichasnov.

In 2025, MIEM will launch an online Master’s programme titled ‘Digital Engineering for Computer Games’ aimed at those who want to go beyond game development and begin designing the underlying technologies that power games. The academic director of the programme will be Ilya Semichasnov, head of the studio.

The course will cover the architecture of game systems, AI development, mathematical modelling, VR, and other disciplines at the intersection of engineering and game design. Students will engage in project-based work, collaborate with industry partners, and have the chance to join teams working on real-world tools.

Applications for the Digital Engineering for Computer Games Master’s programme are open until September 15, 2025.

Learn more at the MIEM HSE website (in Russian).

See also:

Scientists Test Asymmetry Between Matter and Antimatter

An international team, including scientists from HSE University, has collected and analysed data from dozens of experiments on charm mixing—the process in which an unstable charm meson oscillates between its particle and antiparticle states. These oscillations were observed only four times per thousand decays, fully consistent with the predictions of the Standard Model. This indicates that no signs of new physics have yet been detected in these processes, and if unknown particles do exist, they are likely too heavy to be observed with current equipment. The paper has been published in Physical Review D.

HSE Scientists Reveal What Drives Public Trust in Science

Researchers at HSE ISSEK have analysed the level of trust in scientific knowledge in Russian society and the factors shaping attitudes and perceptions. It was found that trust in science depends more on everyday experience, social expectations, and the perceived promises of science than on objective knowledge. The article has been published in Universe of Russia.

Institute for Robotics Systems Established at HSE University

As decided by the HSE University Academic Council, a new Institute for Robotics Systems will be established at HSE, and with a strong fundamental base. It will cooperate with relevant departments across the university and engage students and doctoral candidates in research and development (R&D). First Vice Rector of HSE University and Director of the Institute for Statistical Studies and Economics of Knowledge, Leonid Gokhberg, discussed the expected practical results and the framework for cooperation with an industrial partner.

HSE Tops Ranking of Universities Participating in Priority 2030 Programme

The Russian Ministry of Science and Higher Education has published an updated list of participants in the Priority 2030 programme. A total of 106 universities will receive support this year. HSE University was included in the first group and topped the ranking.

HSE Psycholinguists Launch Digital Tool to Spot Dyslexia in Children

Specialists from HSE University's Centre for Language and Brain have introduced LexiMetr, a new digital tool for diagnosing dyslexia in primary school students. This is the first standardised application in Russia that enables fast and reliable assessment of children’s reading skills to identify dyslexia or the risk of developing it. The application is available on the RuStore platform and runs on Android tablets.

HSE Scientists Optimise Training of Generative Flow Networks

Researchers at the HSE Faculty of Computer Science have optimised the training method for generative flow neural networks to handle unstructured tasks, which could make the search for new drugs more efficient. The results of their work were presented at ICLR 2025, one of the world’s leading conferences on machine learning. The paper is available at Arxiv.org.

Physicists Propose New Mechanism to Enhance Superconductivity with 'Quantum Glue'

A team of researchers, including scientists from HSE MIEM, has demonstrated that defects in a material can enhance, rather than hinder, superconductivity. This occurs through interaction between defective and cleaner regions, which creates a 'quantum glue'—a uniform component that binds distinct superconducting regions into a single network. Calculations confirm that this mechanism could aid in developing superconductors that operate at higher temperatures. The study has been published in Communications Physics.

Neural Network Trained to Predict Crises in Russian Stock Market

Economists from HSE University have developed a neural network model that can predict the onset of a short-term stock market crisis with over 83% accuracy, one day in advance. The model performs well even on complex, imbalanced data and incorporates not only economic indicators but also investor sentiment. The paper by Tamara Teplova, Maksim Fayzulin, and Aleksei Kurkin from the Centre for Financial Research and Data Analytics at the HSE Faculty of Economic Sciences has been published in Socio-Economic Planning Sciences.

Larger Groups of Students Use AI More Effectively in Learning

Researchers at the Institute of Education and the Faculty of Economic Sciences at HSE University have studied what factors determine the success of student group projects when they are completed with the help of artificial intelligence (AI). Their findings suggest that, in addition to the knowledge level of the team members, the size of the group also plays a significant role—the larger it is, the more efficient the process becomes. The study was published in Innovations in Education and Teaching International.

New Models for Studying Diseases: From Petri Dishes to Organs-on-a-Chip

Biologists from HSE University, in collaboration with researchers from the Kulakov National Medical Research Centre for Obstetrics, Gynecology, and Perinatology, have used advanced microfluidic technologies to study preeclampsia—one of the most dangerous pregnancy complications, posing serious risks to the life and health of both mother and child. In a paper published in BioChip Journal, the researchers review modern cellular models—including advanced placenta-on-a-chip technologies—that offer deeper insights into the mechanisms of the disorder and support the development of effective treatments.