Barrett, The Honors College Thesis/Creative Project Collection
Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.
Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.
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- Creators: Engineering Programs
Description
The field of robotics is rapidly expanding, and with it, the methods of teaching and introducing students must also advance alongside new technologies. There is a challenge in robotics education, especially at high school levels, to expose them to more modern and practical robots. One way to bridge this gap is human-robot interaction for a more hands-on and impactful experience that will leave students more interested in pursuing the field. Our project is a Robotic Head Kit that can be used in an educational setting to teach about its electrical, mechanical, programming, and psychological concepts. We took an existing robot head prototype and further advanced it so it can be easily assembled while still maintaining human complexity. Our research for this project dove into the electronics, mechanics, software, and even psychological barriers present in order to advance the already existing head design. The kit we have developed combines the field of robotics with psychology to create and add more life-like features and functionality to the robot, nicknamed "James Junior." The goal of our Honors Thesis was to initially fix electrical, mechanical, and software problems present. We were then tasked to run tests with high school students to validate our assembly instructions while gathering their observations and feedback about the robot's programmed reactions and emotions. The electrical problems were solved with custom PCBs designed to power and program the existing servo motors on the head. A new set of assembly instructions were written and modifications to the 3D printed parts were made for the kit. In software, existing code was improved to implement a user interface via keypad and joystick to give students control of the robot head they construct themselves. The results of our tests showed that we were not only successful in creating an intuitive robot head kit that could be easily assembled by high school students, but we were also successful in programming human-like expressions that could be emotionally perceived by the students.
ContributorsRathke, Benjamin (Co-author) / Rivera, Gerardo (Co-author) / Sodemann, Angela (Thesis director) / Itagi, Manjunath (Committee member) / Engineering Programs (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
As robotics technology advances, robots are being created for use in situations where they collaborate with humans on complex tasks. For this to be safe and successful, it is important to understand what causes humans to trust robots more or less during a collaborative task. This research project aims to investigate human-robot trust through a collaborative game of logic that can be played with a human and a robot together. This thesis details the development of a game of logic that could be used for this purpose. The game of logic is based upon a popular game in AI research called ‘Wumpus World’. The original Wumpus World game was a low-interactivity game to be played by humans alone. In this project, the Wumpus World game is modified for a high degree of interactivity with a human player, while also allowing the game to be played simultaneously by an AI algorithm.
ContributorsBoateng, Andrew Owusu (Author) / Sodemann, Angela (Thesis director) / Martin, Thomas (Committee member) / Software Engineering (Contributor) / Engineering Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Motion simulators are a common feature in everything from high end science museums to amusement parks, allowing a full ride experience on a small footprint and at a comparatively low cost relative to full size rides. The rapidly advancing field of virtual reality provides a potential increase in this desire for motion simulators, by combing virtual reality with motion simulation, total immersions can be created that is competitive with theme parks. While there exists a small number of commercially available consumer motion simulators, these tend to not have a wide enough range of motion to provide flexibility for use cases. This report is the documentation of an attempt to create a low cost consumer grade motion simulator prototype to determine to what extent an adequate motion simulation experience can be created in the home environment. This design made use of a two degree of freedom platform mounted on a universal joint as a trade off between flexibility of use and affordability of the end product. Ultimately, although the design and motor selection was sound, structural issues prevented the design from being capable of withstanding the necessary forces. However, as a prototype, important lessons were learned that could apply to a better-constructed second generation design. The results definitely show that motion simulators will, in the near future, become feasible for in-home amusement park recreation, at least for some amusement park rides.
ContributorsMiller, Alec Michael (Author) / Sodemann, Angela (Thesis director) / Gintz, Jerry (Committee member) / Engineering Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Understanding the necessary skills required to work in an industry is a difficult task with many potential uses. By being able to predict the industry of a person based on their skills, professional social networks could make searching better with automated tagging, advertisers can target more carefully, and students can better find a career path that fits their skillset. The aim in this project is to apply deep learning to the world of professional networking. Deep Learning is a type of machine learning that has recently been making breakthroughs in the analysis of complex datasets that previously were not of much use. Initially the goal was to apply deep learning to the skills-to-company relationship, but a lack of quality data required a change to the skills-to-industry relationship. To accomplish the new goal, a database of LinkedIn profiles that are part of various industries was gathered and processed. From this dataset a model was created to take a list of skills and output an industry that people with those skills work in. Such a model has value in the insights that it forms allowing candidates to: determine what industry fits a skillset, identify key skills for industries, and locate which industries possible candidates may best fit in. Various models were trained and tested on a skill to industry dataset. The model was able to learn similarities between industries, and predict the most likely industries for each profiles skillset.
ContributorsAndrew, Benjamin (Co-author) / Thiel, Alex (Co-author) / Sodemann, Angela (Thesis director) / Sebold, Brent (Committee member) / Engineering Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
The sense of sight is arguably the most common method that our body uses for gathering data of the world around us. However, that primary tool is negated for those who are visually impaired, and thus must be replaced with a new bodily sense. Over the years there have been multiple attempts to determine the second best sense from which the brain can generate the most information, and to create a device that utilizes that sense to gather and relay the data quickly and efficiently. However, the sense that has gained the most favor among users and the most experimentation is that of touch. A haptic display device employs the sense of touch by breaking down an image viewed by the haptic display into pixels; each pixel is then translated to a certain vibrational frequency or electrical charge for the user to feel (depending on the brightness of the pixel). One can then distinguish the feeling of the square-like object through the device, however the main problem that exists among the current haptic display devices is the low-resolution output. The low resolution thus makes it difficult for a user to decipher between objects that share a similar shape, but are still completely different.
By considering a different method of delivering information to the brain via touch, it may become possible to create a haptic display that can relay environmental information to the brain in 64x64 resolution. The alternative solution is to replace the vibrating motors with vibrating cantilever beams, thus allowing more beams to take up a specific area in comparison to vibrating motors. Each beam will vary in length to establish its own natural frequency while also making it easier for each beam’s vibration to be controlled by a single microcontroller. Nathan Eastburn, a student who graduated in the spring of 2018, designed a wire-cutting machine that could pull the beams through a metal plate to strip the beam into smaller cross-sections and cut the beams into the very precise lengths. To further complete the machine, the mechanical aspects of the machine needed to be finalized and installed, specifically the air cylinder valve and blade attachments.
The following report provides the details and thought process in converting the given designs of the air pump and blade systems into the physical additions to the wire-cutting machine. Both systems have further parts that need to be purchased, components that must be manufactured, and/or redesigns to the functionality of the systems; these will be explained for those desiring to continue and complete the assembly of this machine.
By considering a different method of delivering information to the brain via touch, it may become possible to create a haptic display that can relay environmental information to the brain in 64x64 resolution. The alternative solution is to replace the vibrating motors with vibrating cantilever beams, thus allowing more beams to take up a specific area in comparison to vibrating motors. Each beam will vary in length to establish its own natural frequency while also making it easier for each beam’s vibration to be controlled by a single microcontroller. Nathan Eastburn, a student who graduated in the spring of 2018, designed a wire-cutting machine that could pull the beams through a metal plate to strip the beam into smaller cross-sections and cut the beams into the very precise lengths. To further complete the machine, the mechanical aspects of the machine needed to be finalized and installed, specifically the air cylinder valve and blade attachments.
The following report provides the details and thought process in converting the given designs of the air pump and blade systems into the physical additions to the wire-cutting machine. Both systems have further parts that need to be purchased, components that must be manufactured, and/or redesigns to the functionality of the systems; these will be explained for those desiring to continue and complete the assembly of this machine.
ContributorsGarcia, Aundre (Author) / Sodemann, Angela (Thesis director) / Sugar, Thomas (Committee member) / Engineering Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05