Team of Engineering, Computer Science Students Enhance Future of Remote Vehicles

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“This technology is great for use by first responders and military,” said Adam Berlier, team lead for the project. “They do not need to set up an extensive computer control system because this small, mobile AR headpiece is a computer itself. Additionally, this AR device allows users to communicate with each other, eliminating the need for walkie talkies, and can be programmed to allow users to access only information they have clearance to see.”
Like most research, the team’s success didn’t happen overnight. For the past year, the students have been building on a project first developed by Embry-Riddle alumnus Jeremy Brown. In 2017, Brown received the People’s Choice award at the university’s Discovery Day for his inceptive project that employed neuromuscular control systems to operate a small unmanned aircraft system (sUAS).
“Jeremy’s research utilized a neuromuscular gesture recognition armband that reads tiny electrical impulses off your skin to determine which muscles were moving,” explained Berlier. “This allowed the system to know which hand gestures were made, and you could fly a sUAS from those gestures. Jeremy’s biggest concern was a lack of feedback, so he was unsure of the system’s accuracy and he wanted to gather additional information about the vehicles environment. That’s where we came in.”
Upon graduation, Brown passed the project down to Berlier to conduct the next phase of research. He assembled a unique, multi-disciplinary team of student engineers to join forces in this unprecedented project.
“Our team is particularly unique because we come from diverse backgrounds, including mechanical engineering, software engineering, electrical engineering and computer science,” explained Berlier. “This allowed our team to do so much more than just one discipline could have accomplished.”
A custom-designed ground vehicle provided strong analysis of dynamics and control of the vehicle. Combining a Microsoft HoloLens AR headset – which produces computer-generated …

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