Autonomous Target Recognition System
The Autonomous Target Recognition System is a part of a complete robot that competed in a final Battlebots competition at Lockheed Martin MFC. The autonomous targeting system allows a synced projectile-launching device to engage and accurately hit two long range targets, and a mobile enemy vehicle. The all-up system provides a user-interface that utilizes wireless video imagery overlays, allowing the user to both manually control the movement of the robot and simultaneously determine when the weapon has achieved target lock.
Sponsored by Lockheed Martin MFC: Department of Applied Research
Contact:
Jonathan TuckerKenny Chen
About Us
Corey Nelson
Corey Nelson is an Electrical Engineer receiving his Bachelor of Science in May of 2017. He hopes to receive a job at a well-known engineering company as a technician.
Kyle Nelson
Kyle Nelson is an Electrical Engineer receiving his Bachelor of Science in May of 2017. He hopes to begin a career at an engineering company
Alexander Perez
Alexander Perez is graduating on May 4th, 2017 with a Bachelors in Computer Engineering. While working towards his degree, he spent several years at Lockheed Martin as a CWEP student: working in Master Planning and Product Support Engineering. Currently interning as a Computer Engineer at Hoverfly Inc., Alex is programming and configuring flight management systems and supporting other efforts in drone development. Alex will continue to hone his engineering and management skill set over the next several years.
Clayton Cuteri
Clayton Cuteri is graduating on May 4th, 2017 with a Bachelors in Computer Engineering. From Pittsburgh, PA. his drive for learning about everything computer-related and creating the innovative solutions of tomorrow encouraged him to become a Computer Engineer. He has loved it ever since.