# Unconventional Cognitive Intelligent Robotic Control: Quantum Soft Computing Approach in Human Being Emotion Estimation -- QCOptKB Toolkit Application

arXiv: https://arxiv.org/abs/2307.06858 · HTML: https://mlsanity.com/paper/2307.06858/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 4 of its 47 references that are in the map.
- First posted on arXiv 14 Jun 2023.

## Builds on (most cited first, 4 of 4)

- [Emotion Recognition with Machine Learning Using EEG Signals](https://mlsanity.com/paper/1903.07272/) (2019)
- [Deep Emotion: A Computational Model of Emotion Using Deep Neural Networks](https://mlsanity.com/paper/1808.08447/) (2018)
- [A Survey of Robotics and Emotion: Classifications and Models of Emotional Interaction](https://mlsanity.com/paper/2007.14838/) (2020)
- [Maximum work extraction and implementation costs for non-equilibrium Maxwell's demons](https://mlsanity.com/paper/1402.1010/) (2014)

## Abstract (arXiv)

Strategy of intelligent cognitive control systems based on quantum and soft computing presented. Quantum self-organization knowledge base synergetic effect extracted from intelligent fuzzy controllers imperfect knowledge bases described. That technology improved of robustness of intelligent cognitive control systems in hazard control situations described with the cognitive neuro-interface and different types of robot cooperation. Examples demonstrated the introduction of quantum fuzzy inference gate design as prepared programmable algorithmic solution for board embedded control systems. The possibility of neuro-interface application based on cognitive helmet with quantum fuzzy controller for driving of the vehicle is shown.