In mobile robotics, there are often features that, while potentially powerful for improving navigation, prove difficult to profit from as they generalize poorly to novel situations...
Boris Sofman, Ellie Lin, J. Andrew Bagnell, John C...
In this paper, we present a multi-pronged approach to the "Learning from Example" problem. In particular, we present a framework for integrating learning into a standard...
Jie Sun, Tejas R. Mehta, David Wooden, Matthew Pow...
The MITRE Meteor team fielded an autonomous vehicle that competed in DARPA's 2005 Grand Challenge race. This paper describes the team's approach to building its robotic ...
Robert Grabowski, Richard M. Weatherly, Robert H. ...
The Defense Applied Research Projects Agency (DARPA) Learning Applied to Ground Vehicles (LAGR) program aims to develop algorithms for autonomous vehicle navigation that learn how...
James S. Albus, Roger Bostelman, Tommy Chang, Tsai...
We present the design and implementation of a vision-based feature tracking system for an autonomous helicopter. Visual sensing is used for estimating the position and velocity of...
This paper describes the implementation and testing of Alice, the California Institute of Technology's entry in the 2005 DARPA Grand Challenge. Alice utilizes a highly networ...
Lars B. Cremean, Tully B. Foote, Jeremy H. Gillula...
This paper describes a patent awarded system for automatically marking the positions of stands for a trade fair or exhibition. The system has been in operation since August 2003 a...