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Displaying 26 - 50 of 98

Advanced Sensing Towards Improved Forklift Safety

February 4, 2011
Author(s)
Roger V. Bostelman, William P. Shackleford
The National Institute of Standards and Technology's Intelligent Systems Division has been researching advanced three-dimensional (3D) imaging sensors and their use in manufacturing towards improving forklift safety. Experiments are presented in this paper

Performance Measurements Towards Improved Manufacturing Vehicle Safety

November 23, 2009
Author(s)
Roger V. Bostelman, William P. Shackleford
In this paper, we describe the current 2D (dimensional) sensor and ideal sensor configurations if 3D imagers are mounted on manufacturing vehicles in an attempt to make them more safe. Towards the ideal sensor configuration, three experiments were

Integrating Learning Into a Hierarchical Vehicle Control System

December 31, 2007
Author(s)
James S. Albus, Roger V. Bostelman, Tsai H. Hong, Tommy Chang, William P. Shackleford, Michael O. Shneier
The National Institute of Standards and Technology s (NIST) Intelligent Systems Division (ISD) is a participant in the Defense Advanced Research Projects Agency (DARPA) LAGR (Learning Applied to Ground Robots) Program. The NIST team s objective for the

A Common Operator Control Unit Color Scheme for Mobile Robots

December 28, 2007
Author(s)
Michael O. Shneier, Roger V. Bostelman, James S. Albus, William P. Shackleford, Tommy Chang, Tsai Hong Hong
The Intelligent Systems Division at the National Institute of Standards and Technology (NIST) has partici-pated in the Defense Advanced Research Project Agency (DARPA) Learning Applied to Ground Robots (LAGR) project for the past 2 ? years. In Phase 2 of

Learning Traversability Models for Autonomous Mobile Vehicles

November 21, 2007
Author(s)
Michael O. Shneier, Tommy Chang, Tsai Hong Hong, William P. Shackleford
Autonomous mobile robots need to adapt their behavior to the terrain over which they drive, and to predict the traversability of the terrain so that they can effectively plan their paths. Such robots usually make use of a set of sensors to investigate the

Learning in a Hierarchical Control System: 4D/RCS in the DARPA LAGR Program

December 29, 2006
Author(s)
James S. Albus, Roger V. Bostelman, Tommy Chang, Tsai H. Hong, William P. Shackleford, Michael O. Shneier
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 to operate in com-plex terrain. Over many years, the National Institute of

Unstructured Facility Navigation by Applying the NIST 4D/RCS Architecture

September 5, 2006
Author(s)
Roger V. Bostelman, Tsai Hong Hong, Tommy Chang, William P. Shackleford, Michael O. Shneier
The National Institute of Standards and Technology s (NIST) Intelligent Systems Division (ISD) is working with the material handling industry, specifically on automated guided vehicles, to develop next generation vehicles. ISD is also a participant in the

THE LAGR PROJECT - Integrating Learning Into the 4D/RCS Control Hierarchy

August 31, 2006
Author(s)
James S. Albus, Roger V. Bostelman, Tsai H. Hong, William P. Shackleford, Michael O. Shneier
The National Institute of Standards and Technology s (NIST) Intelligent Systems Division (ISD) has been a part of the Defense Advanced Research Project Agency (DARPA) LAGR (Learning Applied to Ground Robots) Project. The NIST team s objective for the LAGR