Emotional Social Robot "Emotico"

Chebotareva, Elvira; Safin, Ramil; Shafikov, Artur; Masaev, Dinar; Shaposhnikov, Andrey; Shayakhmetov, Ilnaz; Magid, Evgeni; Зильберман, Н Н; Gerasimov, Yuriy; Talanov, Max

doi:10.1109/dese.2019.00054

Cited by 7 publications

(1 citation statement)

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“…Moreover, attempts to coordinate different modalities of communication to achieve an expressive manner of human-robot communication that could resemble or replicate a human-human communication (e.g., reported in (Aly & Tapus, 2020)) are too complicated and are doomed to fall behind expressive humanhuman interactions. We believe that generated in real-time via a human neural system based control system reactions (e.g., proposed in (Chebotareva et al, 2019)) would significantly outperform any prerecorded reactions and demonstrate a different level of honesty, empathy and understanding between a human and a robot, which are critical for comfortable daily interactions with robots.…”

Section: Honest Human-robot Interactionmentioning

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: Honest Human-robot Interactionmentioning

confidence: 99%