Slawomir J. Nasuto

University of Reading

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Yoshikatsu Hayashi

University of Reading

Ian Daly

University of Essex

Victor M. Becerra

University of Portsmouth

Kevin Warwick

University of Reading

Faustina Hwang

University of Reading

Eduardo Reck Miranda

University of Plymouth

J. M. Bishop

Cleveland Clinic

Alexis Kirke

University of Plymouth

Duncan Williams

University of York

Adriano de Oliveira Andrade

Universidade Federal de Uberlândia

Cooperative Institutions

University of Reading

Otto-von-Guericke University Magdeburg

University Hospital Magdeburg

Universidade Federal do ABC

Brazilian Institute of Neuroscience and Neurotechnology

Leibniz Institute for Neurobiology

Universidade Estadual de Campinas (UNICAMP)

Università Cattolica del Sacro Cuore

University College London

Imperial College London

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Towards human-computer music interaction: Evaluation of an affectively-driven music generator via galvanic skin response measures

Ian Daly Asad Malik James Weaver Faustina Hwang Slawomir J. Nasuto

An affectively driven music generation system is described and evaluated. The system is developed for the intended eventual use in human-computer interaction systems such as brain-computer music interfaces. It is evaluated for its ability to induce changes in a listeners affective state. The affectively-driven algorithmic composition system was used to generate a stimulus set covering 9 discrete sectors of a 2-dimensional affective space by means of a 16 channel feedforward artificial neural network. This system was used to generate 90 short pieces of music with specific affective intentions, 10 stimuli for each of the 9 sectors in the affective space. These pieces were played to 20 healthy participants, and it was observed that the music generation system induced the intended affective states in the participants. This is further verified by inspecting the galvanic skin response recorded from participants.

Skin conductance

Galvanic cell

10.1109/ceec.2015.7332705

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Citations (9)

A Compact Low-Cost Electronic Hardware Design for Actuating Soft Robots

Victoria Oguntosin Slawomir J. Nasuto Yoshikatsu Hayashi

A low cost, compact embedded design approach for actuating soft robots is presented. The complete design and mode of operation was demonstrated, and the production of the complete system was also demonstrated by building a microcontroller based hardware system which was used to actuate a soft robot for bending motion. The whole system including the electronic circuit board and actuation components was embedded in a 3D-printed casing to ensure a compact approach for actuating soft robots. Results show the viability of the system in actuating and controlling silicon-based soft robots to achieve bending motions. Qualitative measurements of the bending distance and pressure were obtained using this system. This electronic design is easy to reproduce and integrate into any specified soft robotic device requiring pneumatic actuation.

Soft Robotics

10.1109/uksim.2015.49

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Citations (7)

Learning to Make Feelings: Expressive Performance as a Part of a Machine Learning Tool for Sound-Based Emotion Control

Lecture notes in computer science (2013)

Alexis Kirke Eduardo Reck Miranda Slawomir J. Nasuto

Affective Computing

10.1007/978-3-642-41248-6_29

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Citations (2)

Comparison of Temporal and Standard Independent Component Analysis (ICA) Algorithms for EEG Analysis

Nicoletta Nicolaou Slawomir J. Nasuto

Component (thermodynamics)

Component analysis

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Citations (8)

Of (Zombie) Mice and Animats.

Slawomir J. Nasuto J. M. Bishop

The Chinese Room Argument purports to show that ‘syntax is not sufficient for semantics’; an argument which led John Searle to conclude that ‘programs are not minds’ and hence that no computational device can ever exhibit true understanding. Yet, although this controversial argument has received a series of criticisms, it has withstood all attempts at decisive rebuttal so far. One of the classical responses to CRA has been based on equipping a purely computational device with a physical robot body. This response, although partially addressed in one of Searle’s original contra arguments - the ‘robot reply’ - more recently gained friction with the development of embodiment and enactivism, two novel approaches to cognitive science that have been exciting roboticists and philosophers alike. Furthermore, recent technological advances - blending biological beings with computational systems - have started to be developed which superficially suggest that mind may be instantiated in computing devices after all. This paper will argue that (a) embodiment alone does not provide any leverage for cognitive robotics wrt the CRA, when based on a weak form of embodiment and that (b) unless they take the body into account seriously, hybrid bio-computer devices will also share the fate of their disembodied or robotic predecessors in failing to escape from Searle’s Chinese room.

Argument (complex analysis)

Zombie

Rebuttal

Leverage (statistics)

Mind–body problem

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Deriving Functional Astrocytes from Mouse Embryonic Stem Cells with a Fast and Efficient Protocol

Deppo S. Juneja Slawomir J. Nasuto Evangelos Delivopoulos

A growing number of studies highlight the structural and functional diversity of astrocytes throughout the central nervous system. These cells are now seen as heterogeneous as neurons and are implicated in a number of neurological and psychiatric diseases. Efficient generation of diverse subtypes of astrocytes can be a useful tool in investigating synaptogenesis and patterns of activity in developing neural networks. In this study, we developed a protocol for the fast and efficient differentiation of astrocytes from mouse embryonic stem cells, as evidenced by the upregulation of genes related to astrocytic development (Gfap, Aldh1l1). Generated astrocytes exhibit phenotypic diversity, which is demonstrated by the variant expression of markers such as GFAP, ALDH1L1, AQP4 and S100β, amongst subgroups within the same cell population. In addition, astrocytes exhibited differential calcium transients upon stimulation with ATP. Our protocol will facilitate investigations, regarding the involvement of astrocytes in the structural and functional connectivity of neural networks.

Synaptogenesis

10.1109/embc.2019.8857058

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Integration of Visual and Joint Information to Enable Linear Reaching Motions

Scientific Reports (2017)

Henry Eberle Slawomir J. Nasuto Yoshikatsu Hayashi

Abstract A new dynamics-driven control law was developed for a robot arm, based on the feedback control law which uses the linear transformation directly from work space to joint space. This was validated using a simulation of a two-joint planar robot arm and an optimisation algorithm was used to find the optimum matrix to generate straight trajectories of the end-effector in the work space. We found that this linear matrix can be decomposed into the rotation matrix representing the orientation of the goal direction and the joint relation matrix ( M JRM ) representing the joint response to errors in the Cartesian work space. The decomposition of the linear matrix indicates the separation of path planning in terms of the direction of the reaching motion and the synergies of joint coordination. Once the M JRM is numerically obtained, the feedfoward planning of reaching direction allows us to provide asymptotically stable, linear trajectories in the entire work space through rotational transformation, completely avoiding the use of inverse kinematics. Our dynamics-driven control law suggests an interesting framework for interpreting human reaching motion control alternative to the dominant inverse method based explanations, avoiding expensive computation of the inverse kinematics and the point-to-point control along the desired trajectories.

Transformation matrix

Matrix (chemical analysis)

Rotation matrix

10.1038/srep40869

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Citations (3)

Implementation of a design concept of a moulded, soft battery cell

Victoria Oguntosin Slawomir J. Nasuto Yoshikatsu Hayashi

In this work, a moulded electrochemical battery cell made completely of soft silicone rubber is designed. A wet cell battery, similar to the galvanic cell, was fabricated using soft and stretchable silicone rubber impregnated with filler metal powders. The capacity to produce electrical power is demonstrated by measuring the voltage. The battery can produce between 0.2 – 0.4V per cell. This demonstrated concept has application in using the skin of a soft robot in powering low energy sensors attached to a soft robot and in medical applications. The moulded soft cells can be connected in series and parallel to increase the current or voltage capacity. Finally, the possible potential applications of this demonstrated concept is discussed.

Silicone rubber

Galvanic cell

10.1109/prime.2016.7519473

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Citations (1)

Using Newton's method to search for quasi-periodic relative satellite motion based on nonlinear Hamilton models

Victor M. Becerra James D. Biggs Slawomir J. Nasuto Virginia Fernández-Ruíz William Holderbaum

In this paper, the monodromy variant of Newton’s method is applied to locate periodic or quasi-periodic relative satellite motion. Advantages of using Newton’s method to search for periodic or quasi-periodic relative satellite motion include simplicity of implementation, ability to deal with nonlinear dynamics, repeatability of the solutions due to its non-random nature, and fast convergence. A nonlinear Hamiltonian model is derived which incorporates eccentricity of the reference orbit, nonlinear gravitational terms and the J2 perturbation. Closed-loop control of relative satellite motion is simulated with the aid of a discrete LQR controller with impulsive actuation.

Periodic function

Periodic orbits

Eccentricity (behavior)

Hamiltonian (control theory)

Elliptic orbit

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Citations (9)

Music-induced emotions can be predicted from a combination of brain activity and acoustic features

Brain and Cognition (2015)

Ian Daly Duncan Williams James Hallowell Faustina Hwang Alexis Kirke

Music and emotion

Music psychology

10.1016/j.bandc.2015.08.003

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Citations (44)