Texas Christian University
Visual Autonomous Navigation and Task-driven Agentic Ground-to-air Engine. MavenCode's VANTAGE Interface combines computer vision with agent-based decision-making to enable autonomous navigation and task execution from natural language instructions. Built with a modular architecture, VANTAGE supports seamless integration of multiple AI tools.
VANTAGE removes the expertise barrier by interpreting natural language mission instructions and executing autonomous navigation tasks in real time. Users can describe complex missions, and VANTAGE processes environmental data to perform coordinated actions across ground-to-air systems.
Our dedicated team of researchers and developers
VANTAGE integrates cutting-edge AI tools for comprehensive autonomous navigation capabilities
Access project deliverables and technical documentation
We would like to extend our thanks to our mentors from MavenCode, Charles Adetiloye and Mathew Fait, for their guidance and expertise throughout this project. We are deeply grateful to Dr. Xi Fitzgerald, our advisor, for her invaluable support and direction. We also extend our gratitude to the TCU College of Science & Engineering and MavenCode for providing the resources and environment necessary to bring VANTAGE to life.