Automating pandemic mitigation

Magid, Evgeni; Zakiev, Aufar; Tsoy, Tatyana; Lavrenov, Roman; Rizvanov, Albert A.

doi:10.1080/01691864.2021.1905059

Cited by 31 publications

(15 citation statements)

References 78 publications

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“…While at the dawn of neural networks technology simple models with just few layers and neurons were treated as a breakthrough (Crick, 1989), nowadays it turned into a well-established technology with applications in recognition (Y. Li, Zhou, Xu, Luo, & Hu, 2020), path planning (Sung, Choi, & Nielsen, 2021), motion control (Su et al, 2020) and other typical activities and functions of a robot in various environments and settings (Magid, Zakiev, Tsoy, Lavrenov, & Rizvanov, 2021). Yet, recent technologies could hardly replicate a power of a human neural system that could be feasible enough for integration into a mobile robot onboard control system and therefore a number of heavy simplifications are to be implemented.…”

Section: Autonomous Robots Neurocontrolmentioning

confidence: 99%

Neuropunk Revolution. Hacking Cognitive Systems towards Cyborgs 3.0

Talanov¹,

Vallverdú²,

Adamatzky³

et al. 2022

Preprint

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This work is dedicated to the review and perspective of the new direction that we call "Neuropunk revolution" resembling the cultural phenomenon of cyberpunk. This new phenomenon has its foundations in advances in neuromorphic technologies including memristive and bio-plausible simulations, BCI, and neurointerfaces as well as unconventional approaches to AI and computing in general. We present the review of the current state-of-the-art and our vision of near future development of scientific approaches and future technologies. We call the "Neuropunk revolution" the set of trends that in our view provide the necessary background for the new generation of approaches technologies to integrate the cybernetic objects with biological tissues in close loop system as well as robotic systems inspired by the biological processes again integrated with biological objects. We see bio-plausible simulations implemented by digital computers or spiking networks memristive hardware as promising bridge or middleware between digital and [neuro]biological domains.

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Section: Autonomous Robots Neurocontrolmentioning

confidence: 99%

Neuropunk Revolution. Hacking Cognitive Systems towards Cyborgs 3.0

Talanov¹,

Vallverdú²,

Adamatzky³

et al. 2022

Preprint

Self Cite

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“…Autonomous robots are becoming an integral part of diverse human environments due to the advancements of robotic technologies from personal healthcare [1] to automated manufacturing fields [2], [3]. The progression is expected to lead to a future in which both humans and robots coexist and interact on a regular basis [4], [5].…”

Section: Introductionmentioning

confidence: 99%

An investigation on the impact of human-robot interactions during an autonomous obstacle avoidance task

Salman,

Sulaiman,

Islamova

et al. 2024

Proceedings of International Conference on Artificial Life and Robotics

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The purpose of this research is to investigate how an interaction between humans and robots influences a safety of an autonomous obstacle avoidance task. The research collected and analyzed data from surveys and interviews using a combination of quantitative and qualitative methodologies. The findings contributed to our understanding of a complex interplay between a human-robot interaction, a perception, and a robot navigation safety. Based on these findings, the study proposed a number of recommendations for improving both physical and psychological safety aspects of an autonomous robot navigation.

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“…The critical role that robots could play in public health during disaster situations has long been highlighted [ [14] , [15] , [16] ]. The current health crisis has provided an unprecedented opportunity for social robots to demonstrate their value to assist people in real scenarios [ 17 ].…”

Section: Introductionmentioning

confidence: 99%