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Proceedings Paper

CLARAty: an architecture for reusable robotic software
Author(s): Issa A. Nesnas; Anne Wright; Max Bajracharya; Reid Simmons; Tara Estlin; Won Soo Kim
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Paper Abstract

In this article, we will present an overview of the Coupled Layered Architecture for Robotic Autonomy. CLARAty develops a framework for generic and reusable robotic components that can be adapted to a number of heterogeneous robot platforms. It also provides a framework that will simplify the integration of new technologies and enable the comparison of various elements. CLARAty consists of two distinct layers: a Functional Layer and a Decision Layer. The Functional Layer defines the various abstractions of the system and adapts the abstract components to real or simulated devices. It provides a framework and the algorithms for low- and mid-level autonomy. The Decision Layer provides the system's high-level autonomy, which reasons about global resources and mission constraints. The Decision Layer accesses information from the Functional Layer at multiple levels of granularity. In this article, we will also present some of the challenges in developing interoperable software for various rover platforms. Examples will include challenges from the locomotion and manipulation domains

Paper Details

Date Published: 30 September 2003
PDF: 12 pages
Proc. SPIE 5083, Unmanned Ground Vehicle Technology V, (30 September 2003); doi: 10.1117/12.497223
Show Author Affiliations
Issa A. Nesnas, Jet Propulsion Lab. (United States)
Anne Wright, NASA Ames Research Ctr. (United States)
Max Bajracharya, Jet Propulsion Lab. (United States)
Reid Simmons, Carnegie Mellon Univ. (United States)
Tara Estlin, Jet Propulsion Lab. (United States)
Won Soo Kim, Jet Proplusion Lab. (United States)


Published in SPIE Proceedings Vol. 5083:
Unmanned Ground Vehicle Technology V
Grant R. Gerhart; Charles M. Shoemaker; Douglas W. Gage, Editor(s)

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