Zobrazeno 1 - 10
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pro vyhledávání: '"James S. Albus"'
Autor:
James S. Albus
Publikováno v:
International Journal of Machine Consciousness. :193-211
Reverse engineering the brain will require a deep understanding of how information is represented and how computation is performed in the brain. What are the functional operations? What are the knowledge data structures? How are messages encoded? How
Autor:
James S. Albus
Publikováno v:
Information Sciences. 180:1519-1554
The brain is first and foremost a control system that is capable of building an internal representation of the external world, and using this representation to make decisions, set goals and priorities, formulate plans, and control behavior with inten
Autor:
Roger V. Bostelman, James S. Albus
Publikováno v:
Advanced Robotics. 22:1287-1307
This paper describes a novel Home Lift, Position and Rehabilitation (HLPR) Chair, designed at the National Institute of Standards and Technology, to provide independent patient mobility for indoor ...
Autor:
James S. Albus, Tsai Hong, Michael O. Shneier, Tommy Chang, William P. Shackleford, Roger V. Bostelman
Publikováno v:
Autonomous Robots. 24:69-86
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 investigat
Autor:
Roger V. Bostelman, William P. Shackleford, Tommy Chang, Michael O. Shneier, James S. Albus, Tsai Hong
Publikováno v:
Integrated Computer-Aided Engineering. 14:121-139
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 t
Autor:
Roger V. Bostelman, James S. Albus, Tsai Hong Hong, William P. Shackleford, Tommy Chang, Michael O. Shneier
Publikováno v:
Journal of Field Robotics. 23:975-1003
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 complex terrain. Over many years, the National Institute
Publikováno v:
Scopus-Elsevier
The real-time control system (RCS) methodology has evolved over a number of years as a technique to capture task knowledge and organize it in a framework conducive to implementation in computer control systems. The fundamental premise of this methodo
Publikováno v:
Journal of Mechanical Design. 127:612-620
Cable robots have potential usage for loading and unloading of cargo in shipping industries. A novel six-degrees-of-freedom two-stage cable robot has been proposed by NIST for skin-to-skin transfer of cargo. In this paper, we look at a planar version
Publikováno v:
Automation in Construction. 13:393-407
This article presents a novel autonomous system concept for automated construction of houses and other buildings via deposition of concrete and similar materials. The overall system consists of a novel cable-suspended mobility subsystem (a self-conta
Publikováno v:
Journal of Robotic Systems. 21:237-257