The Control, Intelligent Autonomy/Robots and Optimization Research Lab consists of both undergraduate and graduate students in electrical engineering and robotics under the supervision of Dr. Ningshi Yao in the Department of Electrical and Computer Engineering, affiliated with Bio-engineering Department, at the George Mason University.
The research areas our group is actively engaged with are control theory, real-time scheduling, human-robot interaction/teaming, mixed integer optimization for resource allocation, bio-inspired robotics and autonomy, machine learning, and cyber-physical human systems.
You can also visit our youtube channel, GMU’s internal CIAOLab website, and LinkedIn page. Here are some highlight videos from our youtube channel.
Dr. Ningshi Yao is an assistant professor in the Department of Electrical and Computer Engineering, affiliated with Bio-engineering Department, at George Mason University. She received her PhD from the School of Electrical and Computer Engineering at Georgia Institute of Technology in 2020, and the BS in Automatic Control from Zhejiang University, China, in 2014. Prior to joining Mason, she was a postdoctoral research fellow at Georgia Institute of Technology from November 2020 to July 2021. Her research interests include real-time scheduling, control theory, cyber-physical systems, machine learning and human-robot interaction.
I am looking for motivated students interested in control theory, AI and robotics research. Ciao lab will have 2 new PhD openings in Spring and Fall 2024. If you are interested, please feel free to email me at nyao4 at gmu dot edu.
This summer, Ciao lab hosted 3 high-school interns ASSIP and 2 high-school student volunteers. The students worked on robotic blimp development and human robot interaction experiment and completed the summer project sucessfully.
The goal for “Recent Advancement of IndoorLight-Than-Air Agents Workshop”, organized by Dr. Ningshi Yao, Dr. Fumin Zhang and Dr. Donald Sofge, is to disseminate the latest breakthroughs in Light-Than-Air (LTA) agents, i.e., robotic blimps, within Read more…
Our paper entitled “Sequential Transfer Learning-Based Human Decision Making Model for Human-Robot Co-Learning and Insights from User Feedback Analysis” by Rajul Kumar, Vaidehi Som and Dr. Ningshi Yao has been accepted by the 33rd IEEE Read more…
Our paper entitled “Optimal Real-Time Human Attention Allocation and Scheduling in a Multi-human and Multi-robot Collaborative System” by Renke Wang and Dr. Ningshi Yao has been accepted by The 8th IEEE Conference on Control Technology Read more…
Our newest blimp agent: the Sky-Gripper, crafted with precision by my ECE senior design team, participated in the “Defend the Republic” blimp competition. Inspired by the iconic “The Claw” in Toy Story, the Sky-Gripper is Read more…
Our paper entitled “Robust Model Predictive Control for Networked Control Systems with Timing Perturbations” by Renke Wang and Dr. Ningshi Yao has been accepted by rhe 2024 American Control Conference (ACC2024). Dr. Yao will attend Read more…
3241, ENGR Building, 4400 University Drive, Fairfax, VA, 22030
Email: nyao4 at gmu dot edu