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On the suitability of dynamic languages for hot-reprogramming a robotics framework: a Python case study

Acceso Cerrado
ID Minciencias: ART-0001537046-3
Ranking: ART-ART_A2

Abstract:

The development of service robots has gained more attention over the last years. Advanced robots have to cope with many different situations emerging at runtime, while executing complex tasks. They should be programmed as dynamically adaptive systems, capable of adapting themselves to the execution environment, including the computing, user, and physical environment. Recently, dynamic languages are becoming widely used because of the high runtime adaptability they offer. Therefore, we have analyzed the suitability of these languages to implement robotic systems with high runtime adaptability requirements, using Python as case study because of its maturity. To evaluate their suitability, we have implemented a reflective robotics framework that can be programmed in both Java and any dynamic language supported by the standard Java Scripting API. An example scenario has been developed using Python to show how its distinguishing meta-programming features have facilitated the development of runtime-adaptable robotics services. Copyright © 2012 John Wiley & Sons, Ltd.

Tópico:

Modular Robots and Swarm Intelligence

Citaciones:

Citations: 5
5

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Paperbuzz Score: 0
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Información de la Fuente:

SCImago Journal & Country Rank
FuenteSoftware Practice and Experience
Cuartil año de publicaciónNo disponible
Volumen44
Issue1
Páginas77 - 104
pISSNNo disponible
ISSN0038-0644

Enlaces e Identificadores:

Minciencias IDART-0001537046-3Scienti ID0001537046-3Openalex URLhttps://openalex.org/W2170677619
Doi URLhttps://doi.org/10.1002/spe.2162
Artículo de revista