Center for Autonomy and AEOP Summer 2026 Internship

The Center for Autonomy is partnering with the Army Educational Outreach Program (AEOP) to provide a new internship opportunity, "Verifiable Integration of Multi-Modal Pre-Trained Generative Models in Sequential Decision-Making for Autonomous Systems. This paid internship provides summer support for two qualified undergraduate students to work with faculty, mentors, and research staff from the Center of Autonomy. Program Contact: If interested and to learn more about registration, please contact: autonomyinterns@austin.utexas.edu Internship InformationDates: June 1 - August 10, 2026 Interns must be able to commit to 296 hours. The application deadline is March 28th, 2026. Support: The internship will provide a stipend paid directly to the intern. Housing will be provided in a UT Austin dorm if needed. There is no application fee. Undergraduate Stipend: $6000 (2 positions available)If the selected undergrad chooses to use on-campus housing and meal plans, the cost will be deducted from their stipend. Project Description Mobile robots with autonomous navigation capabilities have the potential to replace humans in demanding tasks such as humanitarian assistance, nuclear cleanup, reconnaissance, and transportation. To succeed in these domains, robots must be able to traverse unstructured terrain accurately and reliably while adapting to unforeseen situations much like a human or soldier would. This internship project focuses on advancing autonomous navigation within an existing software stack, while also verifying both new and existing behaviors using large language models. The effort integrates recent advances in autonomous robotics, formal methods, and language-based reasoning, leveraging robotic sensor data and intermediate outputs in conjunction with human-written specifications to enable safe navigation. The resulting software will be implemented and demonstrated on in-house robotic platforms equipped with the ARL software stack and representative sensor suites, op...