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.
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
Lab member Olalekan Ogunmolu will present the paper “Soft-NeuroAdapt: A 3-DOF Neuro-Adaptive Patient Pose Correction System For Frameless and Maskless Cancer Radiotherapy” and poster “Robustness Margins and Robust Guided Policy Search for Deep Reinforcement Learning.”
Congratulations also to Olalekan for a slew of awards. He is a finalist for the Robotics Entrepreneurship Forum and Start-Up Competition held at IROS, and he won travel grants for both IROS and the preceding ROSCon!
See you in Vancouver!