The Expression of Mental States in a Humanoid Robot

Lindberg, Markus; Sandberg, Hannes; Liljenberg, Marcus; Eriksson, Max; Johansson, Birger; Balkenius, Christian

doi:10.1007/978-3-319-67401-8_32

Cited by 6 publications

(4 citation statements)

References 4 publications

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“…In a different context, Edvardsen et al (2020) incorporated classes of neurons from hippocampus to design a navigation strategy in cluttered environments. Some other works have focused on the development of prosthetics to assist the locomotion of animals (von Zitzewitz et al, 2016) and even on the improvement of human-robot interaction by designing systems that control the levels of awareness in humanoid robots (Lindberg et al, 2017;Balkenius et al, 2018).…”

Section: Neurorobotics and Neural Disordersmentioning

confidence: 99%

Neuro4PD: An Initial Neurorobotics Model of Parkinson's Disease

et al. 2021

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In this work, we present the first steps toward the creation of a new neurorobotics model of Parkinson's Disease (PD) that embeds, for the first time in a real robot, a well-established computational model of PD. PD mostly affects the modulation of movement in humans. The number of people suffering from this neurodegenerative disease is set to double in the next 15 years and there is still no cure. With the new model we were capable to further explore the dynamics of the disease using a humanoid robot. Results show that the embedded model under both conditions, healthy and parkinsonian, was capable of performing a simple behavioural task with different levels of motor disturbance. We believe that this neurorobotics model is a stepping stone to the development of more sophisticated models that could eventually test and inform new PD therapies and help to reduce and replace animals in research.

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Section: Neurorobotics and Neural Disordersmentioning

confidence: 99%

Neuro4PD: An Initial Neurorobotics Model of Parkinson's Disease

et al. 2021

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“…Another project investigated how the Epi head could animate facial expression and expressions of internal states. 30,32 These expressions combined the LEDs in the eyes with movements of the head.…”

Section: Epi As a Student Platformmentioning

confidence: 99%

“…We also tested to what extent the robot face could be used to express different internal and emotional states. 30 We combined head movements with eye colour changes to try to convey thinking, angry, happy, confused and sad. The majority of participants were able to identify thinking, happy and confused.…”

Section: Evaluating the Designmentioning

confidence: 99%

Epi: An open humanoid platform for developmental robotics

Johansson

Tjøstheim

Balkenius

2020

International Journal of Advanced Robotic Systems

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Epi is a humanoid robot developed by Lund University Cognitive Science Robotics Group. It was designed to be used in experiments in developmental robotics and has proportions to give a childlike impression while still being decidedly robotic. The robot head has two degrees of freedom in the neck and each eye can independently move laterally. There is a camera in each eye to make stereovision possible. The arms are designed to resemble those of a human. Each arm has five degrees of freedom, three in the shoulder, one in the elbow and one in the wrist. The hands have four movable fingers and a stationary thumb. A force distribution mechanism inside the hand connect a single servo to the movable fingers and makes sure the hand closes around an object regardless of its shape. The rigid parts of the hands are 3D printed in PLA and HIPS while the flexible parts, including the joints and the tendons, are made from polyurethane rubber. The control system for Epi is based on neurophysiological data and is implemented using the Ikaros system. Most of the sensory and motor processing is done at 40 Hz to allow smooth movements. The irises of the eyes can change colour and the pupils can dilate and contract. There is also a grid of LEDs that resembles a mouth that can be animated by changing colour and intensity.

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“…Examples might be memory systems 8 or models of visual attention. The robot was used with Ikaros to study emotional displays 54 and interaction with children in a tutoring situation. 55…”

Section: Robots Using Ikarosmentioning

confidence: 99%

Ikaros: A framework for controlling robots with system-level brain models

Balkenius

Johansson

Tjøstheim

2020

International Journal of Advanced Robotic Systems

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Ikaros is an open framework for system-level brain modeling and real-time robot control. Version 2 of the system includes a range of computational components that implements various algorithms and methods ranging from models of neural circuits to control systems and hardware interfaces for robot. Ikaros supports the design and implementation of large-scale computation models using a flow programming paradigm. Version 2 includes a number of new features that support complex networks of hierarchically arranged components as well as a web-based interactive editor. More than 100 persons have contributed to the code base and over 100 scientific publications report on work that has used Ikaros for simulations or robot control.

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The Expression of Mental States in a Humanoid Robot

Cited by 6 publications

References 4 publications

Neuro4PD: An Initial Neurorobotics Model of Parkinson's Disease

Neuro4PD: An Initial Neurorobotics Model of Parkinson's Disease

Epi: An open humanoid platform for developmental robotics

Ikaros: A framework for controlling robots with system-level brain models

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