A lane-change maneuver on a congested highway could be severely disrupti...
Robustness and safety are critical for the trustworthy deployment of dee...
We derive optimal control policies for a Connected Automated Vehicle (CA...
As robotic systems continue to address emerging issues in areas such as
...
Real-world sequential decision making requires data-driven algorithms th...
We derive optimal control policies for a Connected Automated Vehicle (CA...
In real-world decision making tasks, it is critical for data-driven
rein...
This paper addresses the problem of safety-critical control for systems ...
Recent work has shown that stabilizing an affine control system to a des...
In order for reinforcement learning techniques to be useful in real-worl...
It has been shown that satisfying state and control constraints while
op...
A multi-agent coverage problem is considered with energy-constrained age...
We address the problem of optimizing the performance of a dynamic system...
Usage of automated controllers which make decisions on an environment ar...
Recent work showed that stabilizing affine control systems to desired (s...
This paper studies the cooperative driving of connected and automated
ve...
Optimal control problems with constraints ensuring safety and convergenc...
We consider the optimal multi-agent persistent monitoring problem define...
We consider the optimal multi-agent persistent monitoring problem define...
We derive optimal control policies for a Connected Automated Vehicle (CA...
This paper addresses the optimal control of Connected and Automated Vehi...
We consider the optimal coverage problem where a multi-agent network is
...
This paper addresses an optimal control problem for a robot that has to ...
We present five methods to the problem of network anomaly detection. The...