A Case Study on Pill-Sized Robot in Gastro-Intestinal Tract to Teach Robot Programming and Navigation Article Swipe
Yi Guo
,
Shubo Zhang
,
Hong Man
,
Arthur Ritter
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.18260/1-2--17299
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.18260/1-2--17299
A Case Study on Pill-Sized Robot in Gastro-Intestinal Tract to Teach Robot Programming and NavigationAbstractMicro/nano-robots for biomedical applications are an emerging area that has receivedadvancement during the last decade. Despite of books/textbooks in nanotechnology, there are agrowing number of articles appeared in journals and conference proceedings in biomedicalmicro/nano-robotics. Medical robotics has been an active research area since the 80s andenormous amount of teaching materials is available, particularly in medical instrumentation andmedical imaging. Contrary to the large amount of teaching and learning materials on large-scalemedical robots, instructional materials on micro/nano-robotics for bio-medical applications arevery limited. There is a general lack of learning materials on micro/nano-robotics inundergraduate education. We develop teaching materials targeting undergraduate students in bio-medical engineering and related disciplines where micro-robotics techniques could be readilyapplied.In this paper, we present a case study on a pill-sized robot in gastro-intestinal (GI tract) to teachundergraduate micro-robotics and also principles of robot programming and navigation. The casestudy consists of a lecture unit and a laboratory module. The lecture unit introduces commercialcapsule endoscopes and proposes a conceptual design of a vitamin pill size robot vehicle that canoperate within human’s GI tract. Figure 1 shows the design of the robot. The laboratory moduleis based on the platform of the Webots simulator. The objective of the laboratory modules is toteach students how to program robots to navigate in an uncertain environment and how to controlthe robot. Two main robot navigation mechanisms will be demonstrated: the semi-autonomousand autonomous modes. In the semi-autonomous mode, human can interfere with or control therobot through communication when needed; while in the autonomous mode, the robot is pre-programmed so that it achieves the task and adapts itself to the environment intelligently. Figure2 shows the basic setup of the system and an interface of the Webots simulator where a micro-robot navigates in the GI tract. Figure 1: Inside of the endoscope capsule robot.Figure 2: An ingested capsule communicates wirelessly with an external control console.
Related Topics
Concepts
Computer science
Robot
Pill
Mobile robot navigation
Mobile robot
Artificial intelligence
Human–computer interaction
Computer vision
Robot control
Medicine
Pharmacology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.18260/1-2--17299
- https://strategy.asee.org/17299.pdf
- OA Status
- gold
- Cited By
- 2
- References
- 5
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2418943995Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.18260/1-2--17299Digital Object Identifier
- Title
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A Case Study on Pill-Sized Robot in Gastro-Intestinal Tract to Teach Robot Programming and NavigationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-09-03Full publication date if available
- Authors
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Yi Guo, Shubo Zhang, Hong Man, Arthur RitterList of authors in order
- Landing page
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https://doi.org/10.18260/1-2--17299Publisher landing page
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https://strategy.asee.org/17299.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://strategy.asee.org/17299.pdfDirect OA link when available
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Computer science, Robot, Pill, Mobile robot navigation, Mobile robot, Artificial intelligence, Human–computer interaction, Computer vision, Robot control, Medicine, PharmacologyTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2020: 1, 2012: 1Per-year citation counts (last 5 years)
- References (count)
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5Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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