Control Tools

Chadli, Mohammed

doi:10.1002/9781118578940.ch3

Cited by 1 publication

(1 citation statement)

References 27 publications

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“…Initially, it served as a sensory-interactive, goal-directed controller for a laboratory robot [25]. Over time, RCSs have evolved into an intelligent controller applicable to industrial robots, machine tools, intelligent manufacturing systems, automated mail facilities, stamp distribution systems, mining equipment, unmanned underwater vehicles, and unmanned ground vehicles [26,27].…”

Section: Anthropomorphic Approachmentioning

confidence: 99%

An Intelligent Human–Machine Interface Architecture for Long-Term Remote Robot Handling in Fusion Reactor Environments

Benito,

Barrientos

2024

Applied Sciences

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This paper addresses the intricate challenge posed by remote handling (RH) operations in facilities with operational lifespans surpassing 30 years. The extended RH task horizon necessitates a forward-looking strategy to accommodate the continuous evolution of RH equipment. Confronted with diverse and evolving hardware interfaces, a critical requirement emerges for a flexible and adaptive software architecture based on changing situations and past experiences. The paper explores the inherent challenges associated with sustaining and upgrading RH equipment within an extended operational context. In response to this challenge, a groundbreaking, flexible, and maintainable human–machine interface (HMI) architecture named MAMIC is designed, guaranteeing seamless integration with a diverse range of RH equipment developed over the years. Embracing a modular and extensible design, the MAMIC architecture facilitates the effortless incorporation of new equipment without compromising system integrity. Moreover, by adopting this approach, nuclear facilities can proactively steer the evolution of RH equipment, guaranteeing sustained performance and compliance throughout the extended operational lifecycle. The proposed adaptive architecture provides a scalable and future-proof solution, addressing the dynamic landscape of remote handling technology for decades.

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Section: Anthropomorphic Approachmentioning

confidence: 99%