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.
Nick Gans is representing the SeRViCE Lab at the 2018 International Conference on Robotics and Automation.
We have a poster and paper in the Vision for Navigation 1 Session
We have several posters in the in the late-breaking paper sections as well
- Minimax Iterative Dynamic Game: Application to Nonlinear Robot Control Tasks – WeA-LBP.4
- Extremum Seeking Control for Model-Free Auto-Tuning of Powered Prosthetic Legs – WeP-LBP.4
- Classification and Localization of Objects in SLAM Using Nonparametric Statistics and Clustering – WeP-LBP.9
- A Robot System for Automated Wound Filling with Jetted Materials – ThA-LBP.1
The SeRViCE Lab has projects funded on two new grants starting in September:
- Time-Invariant, Multi-Objective Extremum Seeking Control for Model-Free Auto-Tuning of Powered Prosthetic Legs, from the National Science Foundation
- Distributed Control and Vision-Based Estimation for UAS Autonomy, from the Air Force Research Laboratory Munitions Directorate