Other Engineering Commons^™

Actively Guided Cansats For Assisting Localization And Mapping In Unstructured And Unknown Environments, Cary Chun, M. Hassan Tanveer

Symposium of Student Scholars

When navigating in unknown and unstructured environments, Unmanned Arial Vehicles (UAVs) can struggle when attempting to preform Simultaneous Localization and Mapping (SLAM) operations. Particularly challenging circumstance arise when an UAV may need to land or otherwise navigate through treacherous environments. As the primary UAV may be too large and unwieldly to safely investigate in these types of situations, this research effort proposes the use of actively guided CanSats for assisting in localization and mapping of unstructured environments. A complex UAV could carry multiple of these SLAM capable CanSats, and when additional mapping and localization capabilities where required, the CanSat would …

Interactive Planetarium Project, Eric Babcock, Cody Park, Johann Van Hilst

Discovery Day - Prescott

The Interactive Planetarium Project will design and build the software framework for connectivity between the Digistar 6 planetarium projection software and the smartphones of all audience members in the Jim and Linda Lee Planetarium. The goal of this project is to make planetarium shows more participatory, add a feature to our planetarium shows that many other universities do not yet have, and create a framework for future students and faculty to build from. To demonstrate our technology, we will make a real-time competitive trivia game able to support 60 concurrent users (number of expected audience members in the planetarium).

The …

Ai Based Optimization Of Odometry Performance On Mobile Robots, Sunny Leveson Jones, Charles Koduru

Symposium of Student Scholars

Robots have become a large part of the modern world and have been used to navigate through complex environments, with various optimal speeds and pathing requirements. To improve this, we have developed an AI-based predictive pathing optimizer that takes in data regarding the requested route and implements optimal speeds. The algorithm will compare time lost to the time gained by moving at a higher velocity. This has been developed by implementing continual circular patterns onto a mobile robot, which allows for rapid analysis of both the accuracy and the speed of the cycle. This optimization is proposed to increase the …