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 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!
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!
We have two more papers that have recently appeared:
Collision-free formation and heading consensus of nonholonomic robots as a pose regulation problem
by Jingfu Jin and Nicholas Gans, in Robotics and Autonomous Systems
A Stable Switched-System Approach to Collision-Free Wheeled Mobile Robot Navigation by Jingfu Jin, YoonGu Kim, SungGil Wee, DongHa Lee, and Nicholas Gans, in Journal of Intelligent & Robotic Systems