Date of Award
2020
Document Type
Masters Thesis
Degree Name
M. S.
Organizational Unit
Daniel Felix Ritchie School of Engineering and Computer Science, Mechanical and Materials Engineering
First Advisor
Mohammad H. Mahoor
Second Advisor
Siavash Rezazadeh
Third Advisor
Kimon P. Valavanis
Fourth Advisor
Goncalo Martins
Fifth Advisor
Kerstin Hering
Keywords
Autism spectrum disorder, Children, Kinematics, Omniwheel, Robotic assisted therapy, Social robot
Abstract
The continued growth of Autism Spectrum Disorders (ASD) around the world has spurred a growth in new therapeutic methods to increase the positive outcomes of an ASD diagnosis. It has been agreed that the early detection and intervention of ASD disorders leads to greatly increased positive outcomes for individuals living with the disorders. Among these new therapeutic methods, Robot-Assisted Therapy (RAT) has become a hot area of study. Recent works have shown that high functioning ASD children have an affinity for interacting with robots versus humans. It is proposed that this is due to a less complex set of communication modes present in a robotic system as opposed to the complex non-verbal communications present in human to human interactions. As such, the Computer Vision and Robotics Lab at the University of Denver has embarked on developing a social robot for children with ASD.
This thesis presents the design of this social robot; Nyku (Figure 1). It begins with an investigation of what the needs of ASD children are, what existing therapies help with, and what, if any, roles a robot can play in these treatment plans. From the literature examined, it is clear that robots designed specifically for ASD children have a core set of goals, despite the varied nature of the disorder's spectrum. These goals aim to reduce the stress of non-verbal communications that may occur during standard therapies, as well as providing capabilities to reinforce typical areas of weakness in an ASD persons social repertoire, such as posture mimicry and eye contact. A goal of this thesis is to show the methodology behind arriving at these design goals so that future designers may follow and improve upon them.
Nyku's hardware and software design requirements draw from this foundation. Using this "needs first" design methodology allows for informed design such that the final product is actually useful to the ASD population. In this work, the information collected is used to design the mechanical components of Nyku. These elements consist of Nyku's Body, Neck & Head, and Omni-wheel base. As with all robots, the mechanical needs then spawn electronics requirements, which are, in turn, presented. In order to tie these systems together, the control architecture is coded. Notably, this thesis results in a novel kinematic model of a spherical manipulation system present in the Omni-wheel Base. This solution is then presented in detail, along with the testing conducted to ensure the model's accuracy.
To complete the thesis, overall progress on Nyku is highlighted alongside suggestions for a continuation of the work. Here, the engineering work is compared against the design goals which it tries to fulfill in an effort to ensure that the work has stayed on track. In continuation, this examination maps out future steps needed to optimize the engineering work on Nyku for reliable performance during therapeutic sessions. Finally, a therapeutic plan is proposed given the hardware capabilities of Nyku and the needs of ASD children against the background of modern therapeutic methods.
Publication Statement
Copyright is held by the author. User is responsible for all copyright compliance.
Rights Holder
Dan Stephan Stoianovici
Provenance
Received from ProQuest
File Format
application/pdf
Language
en
File Size
148 p.
Recommended Citation
Stoianovici, Dan Stephan, "Nyku: A Social Robot for Children With Autism Spectrum Disorders" (2020). Electronic Theses and Dissertations. 1843.
https://digitalcommons.du.edu/etd/1843
Copyright date
2020
Discipline
Electrical engineering, Robotics, Computer engineering
Included in
Disability Studies Commons, Electrical and Computer Engineering Commons, Robotics Commons