Texas A&M logo REU in ACR: Welcome!

REU in Applied Computational Robotics


The Texas A&M University Research Experience for Undergraduates (REU) in Applied Computational Robotics is a 10-week summer program designed to introduce students from computer science and related areas to research in robotics.

The program is based on the idea that "robots change everything." That is, when we use computers to make robots autonomous, the complexity and unpredictability of the physical world make a huge difference on nearly every aspect of that computing system, from the application-specific algorithms and data structures, all the way down to the lower-level considerations of security and network connectivity.

Participants in this program engage in active research rooted in areas that are often overlooked by the contemporary robotics community, but crucially important for the deployment of reliable, trustworthy, autonomous robotic systems.

Apply now for Summer 2024 Frequently asked questions

Who Should Apply?

The program is designed for students that have taken at least some introductory courses in Computer Science and who are interested in learning more about robotics and about research. Applications from women, underrepresented minorities, and students from institutions with limited research opportunities are especially encouraged.

This program is open to all U.S. citizens or permanent residents who are enrolled in an undergraduate degree program. Due to our sponsor's requirements, no exceptions can be made.

Program Benefits and Expectations

In addition to an opportunity to learn about robotics and research in a fun and supportive setting, there are several benefits.

In exchange, we expect participants to live in the provided on-campus housing, and to invest about 40 hours per week in the program, including:

And of course, we expect all participants to adhere to all relevant laws and university standards.

Want to know more?

We have a list of frequently asked questions.

You can also contact Jason O'Kane, the program director, at Image of PI's email address..

Photo pf previous participants

National Science Foundation logo This material is based upon work supported by the National Science Foundation under Grant No. 1659514. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation.