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.
We have good news to kick of 2018.
“QuEst: A Quaternion-Based Approach for Camera Motion Estimation from Minimal Feature Points,” by K. Fathian ; J.P. Ramirez Paredes ; E. Doucette ; J. W. Curtis ; N. Gans, IEEE Robotics and Automation Letters, is now available in preprint
“Parameter Estimation and Line Width Control of Robot Guided Inkjet
Deposition,” by B. Jafari, N. Lee, B. Antohe and N. Gans was accepted to appear at the 2018 American Controls Conference.
Lab Member Saurav Kumar was just at the 2017 IEEE Conference on Control Technology and Applications. His paper “Automatic Tuning of Virtual Constraint-Based Control Algorithms for Powered Knee-Ankle Prostheses” was nominated for best student paper!