Robotics and Automation
The future is here, as engineers have already introduced robots to healthcare, law enforcement, supply chains, etc. Speed School students don’t worry that robots are coming to steal our jobs. They’re too busy devising ways to make our jobs easier, more productive, and more beneficial to society. Robotics can be applied to nearly any discipline within engineering, with solutions emerging in nursing, surgery, manufacturing, distribution, and aeronautics — among many others.
Has been allocated in scholarships through the Robotics Education & Competition (REC) Foundation
Dr. Dan Popa, Electrical & Computer EngineeringFaculty Story"What I envision in the next 50 years would be humans and robots in close collaboration, or studying the basis for that science -- and a lot of these discoveries being done here."
News
Lauren Reinersman is Focusing Her Profession on Water and Sanitation Issues
Dr. Gautam Gupta, Associate Professor, Chemical Engineering and Dr. Bikram Bhatia, Assistant Professor, Mechanical Engineering along with a veritable village of collaborators including more than 20 undergrad, graduate and PhD students; faculty, volunteers and numerous community partners, have worked to develop an oxygen concentrator (OxyCart) that can help address a global shortage of oxygen.
Freshman Ryan Gensheimer Excels in Sport of Karting
Facility Aerial Robotics Lab
In the Aerial Robotics Lab, Speed Students build unmanned drones with complex navigation systems, secure mobile networking, and fault tolerance. Most of this work is completed with off-the-shelf or 3D-printed components.
Featured Publications
Mobile robots need foresight into the quality of their wireless links in order to proactively optimize routing, plan mobility routes, avoid disconnects, and make other network optimizations.
Leaf segmentation is significantly important in assisting ecologists to automatically detect symptoms of disease and other stressors affecting trees. This paper employs state-of-the-art techniques in image processing to introduce an accurate framework for segmenting leaves and diseased leaf spots from images.