Although autonomy has gained widespread usage in structured and controll...
One of the main challenges in autonomous robotic exploration and navigat...
This paper presents and discusses algorithms, hardware, and software
arc...
Although ground robotic autonomy has gained widespread usage in structur...
In order for a robot to explore an unknown environment autonomously, it ...
We propose a framework for resilient autonomous navigation in perceptual...
This paper serves as one of the first efforts to enable large-scale and
...
Hybrid ground and aerial vehicles can possess distinct advantages over
g...
Robots and particularly drones are especially useful in exploring extrem...
Learning-based control aims to construct models of a system to use for
p...
Deep learning has enjoyed much recent success, and applying state-of-the...
Autonomous exploration of unknown environments with aerial vehicles rema...
Recent work from the reinforcement learning community has shown that
Evo...
In this paper we investigate the use of MPC-inspired neural network poli...