3 citations · 10 across the 13 of their papers we have counts for
13 papers
Optimization of Multi-Agent Flying Sidekick Traveling Salesman Problem over Road Networks
Ruixiao Yang, Chuchu Fan
The mixed truck-drone delivery systems have attracted increasing attention for last-mile logistics, but real-world complexities demand a shift from single-agent, fully connected gr…
RADIUM: Predicting and Repairing End-to-End Robot Failures using Gradient-Accelerated Sampling
Charles Dawson, Anjali Parashar, Chuchu Fan
Before autonomous systems can be deployed in safety-critical applications, we must be able to understand and verify the safety of these systems. For cases where the risk or cost of…
Efficient Motion Planning for Manipulators with Control Barrier Function-Induced Neural Controller
Mingxin Yu, Chenning Yu, M-Mahdi Naddaf-Sh +3
Sampling-based motion planning methods for manipulators in crowded environments often suffer from expensive collision checking and high sampling complexity, which make them difficu…
Active Disruption Avoidance and Trajectory Design for Tokamak Ramp-downs with Neural Differential Equations and Reinforcement Learning
Allen M. Wang, Oswin So, Charles Dawson +3
The tokamak offers a promising path to fusion energy, but plasma disruptions pose a major economic risk, motivating considerable advances in disruption avoidance. This work develop…
Adversarial optimization leads to over-optimistic security-constrained dispatch, but sampling can help
Charles Dawson, Chuchu Fan
To ensure safe, reliable operation of the electrical grid, we must be able to predict and mitigate likely failures. This need motivates the classic security-constrained AC optimal…
Neural Network-based Fault Detection and Identification for Quadrotors using Dynamic Symmetry
Kunal Garg, Chuchu Fan
Autonomous robotic systems, such as quadrotors, are susceptible to actuator faults, and for the safe operation of such systems, timely detection and isolation of these faults is es…