This paper presents a new (geometrical) approach to the computation of polyhedral (robustly) positively invariant (PI) sets for general (possibly discontinuous) nonlinear discrete...
A. Alessio, Mircea Lazar, Alberto Bemporad, W. P. ...
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
This paper presents a novel approach for dense reconstruction from a single-view of a repetitive scene structure. Given an image and its detected repetition regions, we model the ...
The most advanced logistics solutions that are currently adopted in ports and terminals use RFID- and GPS-based technologies to identify and localize shipping containers in the ya...
Stefano Abbate, Marco Avvenuti, Paolo Corsini, Ale...
— Many calibration methods calibrate a pair of sensors at a time. For robotic systems with many sensors, they are often time-consuming to use, and can also lead to inaccurate res...