Presentation at NAPS 2023 for Adversarial Optimization
Charles presented his work “Adversarial optimization leads to over-optimistic securityconstrained dispatch, but sampling can help” at the North American Power Symposium in Asheville, NC.
One RSS 2023 paper and workshop accepted
“Solving Stabilize-Avoid Optimal Control via Epigraph Form and Deep Reinforcement Learning” by Oswin. An RSS pioneering workshop will be held by Charles.
Two L4DC 2023 papers accepted
“Compositional Neural Certificates for Networked Dynamical System” by Songyuan (Oral). “Hybrid Systems Neural Control with Region-of-Attraction Planner” by Yue.
Chuchu got the NSF CAREER Award
The project aims to develop a novel set of certifiable data-driven technologies for the control, design, and risk analysis of highly challenging autonomous systems.
Chuchu got the AFOSR YIP Award
The project aims to develop high-coverage and low-cost testing methods for intelligent autonomous systems
Two ICRA 2023 papers accepted
“Density Planner: Minimizing Collision Risk in Motion Planning with Dynamic Obstacles using Density-based Reachability” by Laura, Yue, and Andres. “Enforcing safety for vision-based controllers via Control ” by Mukun and Charles.
Chuchu invited for 2022 NCCR Symposium
Chuchu Fan invited to give a seminar at The National Centres of Competence in Research Symposium, 2022. She will be presenting on the interplay of dynamical systems, neural networks and controls.
New members at REALM!
Kunal Garg, Oswin So, Yongchao Chen, Mingxin Yu, Ruixiao Yang and Rujul Gandhi join REALM
Chuchu gives a keynote talk at 2022 L4DC
Chuchu gave a keynote talk at the 4th Learning for Decision and Control (L4DC) conference, held in Stanford, in June 2022.