— In this paper an innovative approach to robotics education is reported, where hands-on learning is integrated with cutting-edge research in the development of an autonomous, bi...
Xiaobo Tan, Drew Kim, Nathan Usher, Dan Laboy, Joe...
The paper presents a new technique for extracting symbolic ground facts out of the sensor data stream in autonomous robots for use under hybrid control architectures, which compris...
—The purpose of this paper is to present the linkage of Thetis (a real time multi-vehicles hybrid simulator for heterogeneous vehicles) with a control architecture for the manage...
Online trajectory generation for robots with multiple degrees of freedom is still a difficult and unsolved problem, in particular for non-steady state locomotion, that is, when th...
In this article, we show how a behavior based control system for autonomous robots can be modeled as a hybrid automaton, where each node corresponds to a distinct robot behavior. T...