Our paper titled “One Human and Multi-Robot Collaboration: Evaluating the Impact of Attention-Guided On-Screen Recommendations on Human Multitasking Efficiency, Cognitive Load, and Trust” by Rajul Kumar, Renke Wang, and Dr. Ningshi Yao has been accepted by the 34th IEEE International Read more…
Our paper titled “Contention-Resolving Model Predictive Control for Coordinating Automated Vehicles at a Multi-lane Traffic Intersection” by Renke Wang, and Dr. Ningshi Yao has been accepted by the 2025 IEEE Conference on Control Technology and Applications (CCTA).
This summer, Ciao Lab is proud to launch the Airborne Robotic Cup (ARC)—a thrilling and educational robotic blimp soccer competition designed for students from 8th to 12th grade. Led by Dr. Ningshi Yao at George Mason University and in collaboration Read more…
Our paper titled “From Dissensus to Consensus: Bias-Controlled Transition in Nonlinear Opinion Dynamics” by Rajul Kumar, and Dr. Ningshi Yao has been accepted by the 10th IFAC Conference on Networked Systems (NecSys 2025). Dr. Yao will attend this conference in-person Read more…
Our paper entitled “Fuzzy and Neural Network Controllers for N-Trailers Wheeled Mobile Robots Avoiding Self-Collision and Actuator Saturation” by Pouya Kassaeiyan, Dr. Qi Wei, and Dr. Ningshi Yao has been accepted by the 2025 American Control Conference (ACC2025). Dr. Yao Read more…
Dr. Yao will be a new member of the Conference Editorial Board (CEB) of the IEEE Control Systems Society. She will serve as Associate Editors for IEEE Conference on Decision and Control (CDC2025) and American Control Conference (ACC2026).
Our paper entitled “From instantaneous schedulability to worst case schedulability: a significant moment approach” by Dr. Ningshi Yao with our collaborator Dr. Fumin Zhang has been published in Cyber-Physical System journal. Check out the paper online.
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 the dynamic context of advanced 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 International Conference on Robot and Read more…