The Sensing, Robotics, Vision, Controls and Estimation Lab was founded in January 2010. We are interested in topics of control and estimation with applications in robotics, autonomous vehicles and sensor management. We have focus and expertise in vision-based control and estimation and nonlinear control.
Members of the lab have backgrounds in Electrical Engineering, Computer Engineering, Mechanical Engineering and Computer Science. This breadth allows us to address stages of research, advancing from theoretical, mathematical development to advanced simulation through implementation on robot platforms.
“Predictive RANSAC: Effective model fitting and tracking approach under heavy noise and outliers,” by Yingmao Li and Nicholas R. Gans, in Computer Vision and Image Understanding
“Data-Driven Synchronization for Internet-of-Things Systems,” by Terrell R. Bennett, Nicholas Gans, and Roozbeh Jafari, in ACM Transactions on Embedded Computing Systems
“A Stable Switched-System Approach to Collision-Free Wheeled Mobile Robot Navigation,” by Jingfu JinYoonGu KimSungGil WeeDongHa LeeNicholas Gans, in Journal of Intelligent & Robotic Systems