Mature students into principled industry leaders for their post-undergraduate careers by executing a comprehensive industry standard approach to interdisciplinary design, prototyping, and systems engineering.
What We Do
PART designs, builds, and tests a two-vehicle system from the ground up each year to compete in an international competition. PART's Uninhabited Aerial System (UAS) air-drops an Uninhabited Ground Vehicle (UGV), both of which will complete a series of tasks demonstrating their ability to operate and navigate autonomously while performing remote sensing missions representative of real-world problems.
PART In Numbers
RAISED SINCE 2021
New and improved structure for the 2022/23 academic year.
The upcoming academic term brings significant expansion and change to PART's structure with the introduction of the R&D and BMD teams. The introduction of these teams will not only better distinguish and streamline the various tasks of running PART. Such improvements will also afford each team to explore beyond previous bounds, whether that be integrating experimental AI or extending outreach programs to new community groups.
INNOVATION IN UAS DESIGN
Unique approaches and new methods of manufacturing.
The aeromechanical sub-team has constructed our next generation autonomous aircraft using 75%+ composite materials. This modern design is achieved using additive and subtractive manufacturing methods that are fueled by high precision tools and machinery. This has yielded a 30% reduction in weight along with an outstanding increase in mechanical properties and strength.
AIRFRAME TO AIRCRAFT
Nurturing skills in a range of domains of electrical engineering.
The electrical sub-team brings the project to life, from airframe to aircraft. This is accomplished by encouraging the development in a range of disciplines in members. To name a few contributions, members gain the confidence to fabricate power management PCBs, Integrating sensor arrays, control surfaces, and avionics, and even developing crucial firmware.
We’re changing the way the world thinks about UAS
The software sub-team develops custom ML algorithms to power our integrated target detection and classification models. Our networks learn from a diverse data set that is both sourced both synthetically and recreated with high accuracy. This AI platform is optimized to be deployed on the edge with maximum efficiency.
Our generous partners provide us the opportunity to participate in the annual AUVSI SUAS competition. The financial and professional support has allowed us to expand upon our designs, bringing our organization to the next level. We thank our sponsors for the their continued support!