· Computer Vision - SLAM (Simultaneous Location and Mapping) >>> working on integrating Orb SLMA to arducopter. ORB SLAM: computer vision based code to our d...

With 5 months left until the International Aerial Robotics Competition, we’d like to give you an update on our progress as an organization. We’ll be attempti...

A little short on time right now with the new school year starting, so I’m just going to drop some links to where the information session is held. Friday 7th...

Been a while since we’ve made an update, so I figured finishing our qualification video and technical paper was a good time to share. We’ve been making lots ...

Controls has made good progress towards our goals for this year. We first started with our smaller tasks to improve the quadcopter’s abilities before jumping...

In the second year of development, the computer vision team is focused on two objectives. The first objective is to track the roombas reliably in real time; ...

IARC was a smashing success for the team. All of the team’s tireless preparation allowed the runs to go flawlessly. The drone demonstrated a few abilities th...

The spring semester has drawn to a close. The team has made incredible progress on all fronts of the project. One of the big changes we made at he the beginn...

The team used this weekend’s meeting to reflect on our first scrum milestone. At the beginning of the month, we decided that our goal was to have a flying dr...

Texas Aerial Robotics stemmed out of the The University of Texas at Austin’s American Helicopter Society chapter, commonly known or “AHS”. AHS was originally...

Our vehicle is about .5x.5 meters in size. It is low to the ground and uses its blade guards as a blocking surface for Roomba redirection. The belly of the d...