Whenever people move through their environments they do not move randomly. Instead, they usually follow specific trajectories or motion patterns corresponding to their intentions....
Grzegorz Cielniak, Maren Bennewitz, Wolfram Burgar...
We propose a method for learning models of people’s motion behaviors in an indoor environment. As people move through their environments, they do not move randomly. Instead, the...
The proliferation of heterogeneous devices and diverse networking technologies demands flexible models to guarantee the quality-of-service(QoS) at the application session level, ...
In this paper, we describe development of a mobile robot which does unsupervised learning for recognizing an environment from action sequences. We call this novel recognition appr...
Abstract-We study the problem of achieving global behavior in a group of distributed robots using only local sensing and minimal communication, in the context of formations. The go...