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 will be traveling to Madrid for the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems. We have three papers in the regular sessions:
- Localization of Classified Objects in SLAM Using Nonparametric Statistics and Clustering
- A Robot System for Automated Wound Filling with Jetted Materials
- Minimax Iterative Dynamic Game: Application to Nonlinear Robot Control Tasks
We also have posters at two workshops
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