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2026#

  • 1 min read

RTDynamics announces NeNA

Bridging the Gap Between Neural Networks and VR-Forces

RTDynamics NeNA for VR-Forces is a plug-in that enables the inference of trained neural networks in VR-Forces. By importing industry-standard ONNX files and utilizing a flexible Lua interface, NeNA allows users to bind real-time simulation data including terrain features, sensor tracks, and VR-Vantage imagery directly into neural network models. These inference outputs can be used by the agents to execute complex maneuvering commands, autonomous engagement decisions for swarms or wings, and optimized sensor operations on both VR-Forces frontend and backend.

Using neural networks to task UAV entities Using neural networks to perform image classification

NeNA is now available as a beta. Request your download here.

  • 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.

Visit www.rtdynamics.com