Autonomic element based architecture for unmanned underwater vehicles

Lin, Chuanlong; Ren, Siying; Feng, Xisheng; Li, Y.; Xu, Jing

doi:10.1109/oceanssyd.2010.5603829

Cited by 12 publications

(4 citation statements)

References 19 publications

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“…Autonomous computing offers the software or hardware developer a great advantage over the usual programming techniques (Lin, 2010). In a traditional approach to controlling a robot dedicated to rehabilitation, a physiotherapist must supervise the operation, with the use of autonomic computing it is possible to use only an autonomic manager.…”

Section: Autonomic Computing Robotic Controller Algorithmmentioning

confidence: 99%

Autonomic Computing in a Biomimetic Algorithm for Robots Dedicated to Rehabilitation of Ankle

Souza

Lima

2017

International Journal of Grid and High Performance Computing

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Human mobility is the key element of everyday life, its reduction or loss deeply affects daily activities. In assisted rehabilitation, robotic devices have focuses on the biomechanics of motor control. However, biomechanics does not study the neurological and physiological processes related to normal gait. Biomimetics combined with biomechanics, can generate a more efficient stimulation of the motor cortex and the locomotor system. The highest efficiency obtained through torque generation models, based on the physiological response of muscles and bones to reaction forces, together with control techniques based on autonomic computation. An autonomic control algorithm has a self-adjusting behaviour, ensuring patient safety and robot operation without the continuous monitoring of the physiotherapist. Thus, this work will identify the elements that characterize the physiological stimuli related to normal human gait, focusing on the ankle joint, aiming the development of biomimetic algorithms for robots for rehabilitation of the lower limbs.

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Section: Autonomic Computing Robotic Controller Algorithmmentioning

confidence: 99%

Autonomic Computing in a Biomimetic Algorithm for Robots Dedicated to Rehabilitation of Ankle

Souza

Lima

2017

International Journal of Grid and High Performance Computing

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“…There is a proposal to implement managed elements for architectures [5]. This approach purposes to merge the autonomic management into the autonomous controller, and deploy it for each system module.…”

Section: Computing Systemsmentioning

confidence: 99%

Autonomic control architecture for avionics software of unmanned space vehicles

Insaurralde

Vassev

2014

2014 IEEE/AIAA 33rd Digital Avionics Systems Conference (DASC)

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Technology for Unmanned Space Vehicles (USVs) has inevitably evolved. Current USVs require continuous assurance of effective adaptation to unpredictable internal/external changes along with efficient management of resources. An attractive inspiration to tackle this issue is that provided by the physiology of living organisms to adapt with a vital goal of surviving. The adaptation mechanism for the avionics software control architecture of USVs proposed is inspired by the physiological functions performed by single/multi-operational combination of nervous system reflexes. Such an approach is able to support autonomic management and persistent sustainment in order to make USVs more viable and stable. This paper presents aspects on how to endow USVs with artificial reflexes by means of applying physiological principles of self-regulation to the control architecture for avionics software of USVs so that resilience and persistence can be supported. The architectural approach is implemented by means of a formal language for formal specification of the above physiologically-inspired reflexes. Realization results from a case study based on orbiters as USVs for the BepiColombo Mission to Mercury are also presented.

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“…There is a proposal to implement managed elements for architectures [8]. This approach purposes to merge the autonomic management into the autonomous controller, and deploy it for each system module.…”

Section: Autonomic Computingmentioning

confidence: 99%

Software Specification and Automatic Code Generation to Realize Homeostatic Adaptation in Unmanned Spacecraft

Insaurralde

Vassev

2008

Proceedings of the 2014 International C* Conference on Computer Science &Amp; Software Engineering - C3S2E '14

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Long-term space missions are requiring more and more autonomy from Unmanned Space Vehicles (USVs). USV control architectures are required to support effective adaptation to unpredictable internal and external changes. Thus, continuous assurance of efficient management of resources is essential to realize such requirements. Inspiration on the self-regulation provided by the physiology of living systems is an attractive solution to achieve continuous adaptation to the environment by changing internal conditions. Physiological functions provided by nervous system reflexes at a very low control level are the foundations for self-regulatory mechanisms such as homeostasis. USVs can get highly-viable and ultra-stable by building artificial self-regulation in order to support very long missions. This paper presents aspects on how to endow USVs with Artificial Nervous Reflexes (ANRs) to the USV control architecture by means of applying physiological principles of self-regulation for operational resilience and persistence. The above homeostatic concept is applied to a composite orbiter (i.e. a USV) for the BepiColombo mission to Mercury. The ANRs studied are required to guarantee self-regulation of response time (latency), operation temperature (thermoregulation), and power consumption (energy balance).Results from experiments carried out based on the realization (software generation) of the above physiological paradigm from software specification are also presented.

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Autonomic element based architecture for unmanned underwater vehicles

Cited by 12 publications

References 19 publications

Autonomic Computing in a Biomimetic Algorithm for Robots Dedicated to Rehabilitation of Ankle

Autonomic Computing in a Biomimetic Algorithm for Robots Dedicated to Rehabilitation of Ankle

Autonomic control architecture for avionics software of unmanned space vehicles

Software Specification and Automatic Code Generation to Realize Homeostatic Adaptation in Unmanned Spacecraft

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