Development of a robot control test platform

Mills, James K.; Baines, P.; Chang, Tsung-Hui; Chew, S.; Jones, Trevor; Lam, Simon; Rabadi, A.

doi:10.1109/100.476626

Cited by 16 publications

(3 citation statements)

References 8 publications

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“…SS is used for " processing, analyzing, visualizing, managing, sharing, experimenting and […] generating new raw data" (Ahmed and Zeeshan 2014, 55), and allows the conduction of research in otherwise impossible conditions (Segal and Morris 2008). A testbed for new technologies (Mills et al 1995), SS connects "abstract theoretical and real industrial worlds" (Prego and Seisdedos 2011, 1). It can be used to control field equipment (Mielke et al 2005) or geographically distributed lab facilities (Gertz, Stewart, and Khosla 1994).…”

Section: How Is Scientific Software Developed and Used?mentioning

confidence: 99%

The Lens of the Lab: Design Challenges in Scientific Software

Queiroz¹,

Spitz²

2016

The International Journal of Design Management and Professional

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Playful and gameful design could improve the quality of scientific software. However, literature about gamification methods for that particular type of software is presently scarce. As an effort to fill that gap, this paper introduces a set of design challenges and opportunities that should be informative to professionals approaching the area. This research is based on literature review on scientific software development, also contemplating material on the gamification of science, software, and work. From the gathered information, we identify, map, and discuss key aspects of development and use of professional scientific software. Those findings are, then, formatted as a Design Lens-a set of questions designers should ask themselves to gain insight, from a particular perspective, on their work. We prop ose the Lens of the Lab as a design lens to support designers working in collaboration with scientists and software engineers in professional scientific software initiatives.

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Section: How Is Scientific Software Developed and Used?mentioning

confidence: 99%

The Lens of the Lab: Design Challenges in Scientific Software

Queiroz¹,

Spitz²

2016

The International Journal of Design Management and Professional

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“…Expanding such systems requires a lot of effort in reverse engineering even with the close cooperation with the original robot manufacturer. 12 Although cost-effectiveness requirement is an issue related to implementation, it should be addressed from the very beginning of the system design. The system architecture should ensure high portability of the final implementation.…”

Section: Cost-effectivenessmentioning

confidence: 99%

Reconfigurable distributed real-time processing for multi-robot control: Design, implementation and experimentation

Pan

Patel

2004

Robotica

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Sophisticated robotic applications require systems to be reconfigurable at the system level. Aiming at this requirement, this paper presents the design and implementation of a software architecture for a reconfigurable real-time multi-processing system for multi-robot control. The system is partitioned into loosely coupled function units and the data modules manipulated by the function units. Modularized and unified structures of the sub-controllers and controller processes are designed and constructed. All the controller processes run autonomously and intra-sub-controller information exchange is realized by shared data modules that serve as a data repository in the sub-controller. The dynamic data-management processes are responsible for data exchange among sub-controllers and across the computer network. Among sub-controllers there is no explicit temporal synchronization and the data dependencies are maintained by using datum-based synchronization. The hardware driver is constructed as a two-layered system to facilitate adaptation to various robotic hardware systems. A series of effective schemes for software fault detection, fault anticipation and fault termination are accomplished to improve run-time safety. The system is implemented cost-effectively on a QNX real-time operating system (RTOS) based system with a complete PC architecture, and experimentally validated successfully on an experimental dual-arm test-bed. The results indicate that the architectural design and implementation are well suited for advanced application tasks.

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“…O software científico pode ser usado para "processar, analisar, visualizar, gerenciar, compartilhar, experimentar e (..) até gerar novos dados" (Ahmed & Zeeshan, 2014, p.55, tradução do autor), e funciona ainda como laboratório de testes para tecnologias experimentais (Mills et al, 1995), servindo de ligação entre abstração teórica e a indústria (Prego & Seisdedos, 2011). Além disso, ele pode ser usado para controle de equipamento de pesquisa em campo (Mielke et al, 2005) ou equipamentos laboratoriais distribuídos geograficamente (Gertz et al, 1994).…”

Section: Introdução Ao Software Científicounclassified

A Ciência Como Jogo: Abordagens Lúdicas Ao Design De Interfaces Para Software Científico

QUEIROZ¹

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Development of a robot control test platform

Cited by 16 publications

References 8 publications

The Lens of the Lab: Design Challenges in Scientific Software

The Lens of the Lab: Design Challenges in Scientific Software

Reconfigurable distributed real-time processing for multi-robot control: Design, implementation and experimentation

A Ciência Como Jogo: Abordagens Lúdicas Ao Design De Interfaces Para Software Científico

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