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  • 3 min read

Smarter Communication with AI Agents – Voice-Controlled Command & Control in VR-Forces

In our previous work, we focused on integrating Large Language Models (LLMs) into VR-Forces to make simulation entities smarter and more autonomous. We explored how LLM-powered agents could interpret human intent, generate Lua code, and execute meaningful actions inside complex simulation environments. While these early results were promising, one challenge remained: the user interface.

Each natural language command still required multiple clicks through menus and windows, followed by manual text entry. Communicating with AI agents was powerful—but not effortless.

Our latest update changes that.

  • 1 min read

Interactive demo of Arena with an RTDynamics environment

RTDynamics has recently announced the availability of a reinforcement learning environment which runs on the AgileRL's Arena platform. Arena is o modern RLOPS platform with lightning-fast learning, automatic tuning via evolutionary hyperparameter optimization and one click deployment. Here is an HOWTO video, which demonstrates the steps from environment upload and initial configuration up to optimized agent training.

  • 2 min read

Reinforcement Learning Quadcopter Agents in RTDynamics & AgileRL Arena

RTDynamics has teamed up with AgileRL, a London-based Reinforcement Learning specialist, to develop a custom gym training environment. Together, they have successfully demonstrated the training of an AI drone agent using AgileRL's Arena platform integrated with RTDynamics simulation models. The trained agent controls a quadcopter to intercept an incoming drone and defend a moving ground vehicle.

  • 3 min read

Smarter Formation Control with LLM-Powered AI Agents in VR-Forces

RTDynamics has taken its prototype integration of large language model (LLM)-based AI agents in the VR-Forces simulation environment to the next level. In this latest demonstration, our AI agents go beyond understanding and executing natural language commands for individual entities — they can now coordinate and control entire formations of aircraft.

  • 2 min read

Smarter Simulation with LLM-Powered AI Agents in VR-Forces

RTDynamics has developed a prototype AI agent based on large language models (LLMs) and integrated it into the VR-Forces simulation environment, a widely used computer-generated forces (CGF) platform for military training, research, and operational analysis.

This prototype demonstrates how LLM-based agents can enhance simulation interactivity. By incorporating LLM-powered AI agents into VR-Forces, it is possible to enable more intuitive, natural language control of simulated entities.

  • 1 min read

New Artillery and Rocket Models Added to EWAWS

The latest update to EWAWS adds four new example configurations for modeling artillery shells and rockets. These models include key aerodynamic and environmental effects relevant to projectile simulation and fire control applications.

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