I.T. Freire Gonzalez (Ismael)
PhD candidate - Neurophysics
6525 AJ NIJMEGEN
Internal postal code: 85
Internal address: 85
6500 GL NIJMEGEN
I do research at the intersection between Artificial Intelligence, Neuroscience, Robotics and the Social Sciences, in order to understand how complex societies and cultures emerged from the interaction of groups of individuals, and what particular cognitive processes underlie such collective phenomena.
In particular, I study the emergence of collective behavior in biological and artificial systems. I approach the topic from a computational perspective by building cognitive architectures informed by neuroeconomics and social cognitive neuroscience. I test these models in robotic and virtual agents in order to shed light on the computational principles, at the cognitive level, that generate dyadic- and population-level emergent phenomena such as cooperation and the formation of social norms and conventions.
- 2018 - 2022 The overall goal of HR-Recycler project is to create a hybrid collaboration environment, where humans and robots will harmoniously share and undertake at the same time different processing and manipulation tasks, targeting the industrial application case of WEEE recycling. The primary output of the envisaged system will be to extract sorted electric/electronic device components [e.g. Printed Circuit Boards (PCBs), Cu coils, capacitors, etc.] and concentrated fractions (e.g. copper, aluminium, plastics, etc.) of increased economic and environmental value; hence, contributing to the fundamental goal of the ‘European circular economy’ project and boosting economic activity in secondary markets. Additionally, mixed fractions (i.e. fractions with low concentration in valuable materials) will be collected, in order to be sent to other facilities for further dedicated recycling process. More information
- 2020 - 2024 The ReHyb project will develop a hybrid upper-limb exoskeleton that uses its own sensing and novel actuation capabilities for generating the digital twin of the user. The advanced cognitive system will interface the digital twin to plan and control the hybrid exoskeleton so that the control system sympathetically respects user’s neuromechanical and psychological status, and intelligently assists the user’s motion. The cognitive capability accomplishes the robotic system to predict user behaviour and derive personalised interaction strategies by accessing to the digitised knowledge about the user. The hybrid of powered exoskeleton and FES on the user’s arm and hand allow the assistive interaction at the behavioural and muscle levels, which increases the interaction efficacy by improving the user model and wearability of the system, while an advanced control algorithm ensures all interaction strategies are executed safely and robustly. More information
- 2022 - 2026 The Counterfactual Assessment and Valuation for Awareness Architecture (CAVAA) project proposes that awareness serves survival in a world governed by hidden states, to deal with the “invisible”, from unexplored environments to social interaction that depends on the internal states of agents and moral norms. Awareness reflects a virtual world, a hybrid of perceptual evidence, memory states, and inferred “unobservables”, extended in space and time. The CAVAA project will realize a theory of awareness instantiated as an integrated computational architecture and its components to explain awareness in biological systems and engineer it in technological ones.