LIDAR for Scribbler 2: Enhancing sensing capabilities in an educational robot

Kevin S. Miller; Stefan A. Robila

doi:10.1109/LISAT.2017.8001957

LIDAR for Scribbler 2: Enhancing sensing capabilities in an educational robot

Kevin S. Miller
, Stefan A. Robila

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

This paper describes a project to enhance a commonly used educational robot, the Parallax Scribbler 2 (S2), by adding more sensor capabilities and making it truly autonomous. The S2 is a popular platform in high school and college robotics courses yet it lacks significant capacity that is compensated by often pairing it with Fluke 2, an interface/controller card developed by a third party group. However, while improving the robot's capability the Fluke card provides limited support for truly autonomous navigation, mainly due to the simplicity of some of the sensors as well as the technology used. In this project, the Fluke is replaced by a LIDAR (LIght Detection And Ranging) sensor with communication supported by a IOIO-OTG (pronounced 'yo-yo-O-T-G') developer board and an inexpensive Android device. The resulting platform will allow for more reliable mapping capabilities as well as open the door for S2 based autonomous navigation to be studied and developed as part of robotics education.

Original language	English
Title of host publication	2017 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538638873
DOIs	https://doi.org/10.1109/LISAT.2017.8001957
State	Published - 3 Aug 2017
Event	2017 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2017 - Farmingdale, United States Duration: 5 May 2017 → …

Publication series

Name	2017 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2017

Other

Other	2017 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2017
Country/Territory	United States
City	Farmingdale
Period	5/05/17 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

LIDAR
autonomous navigation
computer science education
mapping
robots

Access to Document

10.1109/LISAT.2017.8001957

Cite this

Miller, K. S., & Robila, S. A. (2017). LIDAR for Scribbler 2: Enhancing sensing capabilities in an educational robot. In 2017 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2017 Article 8001957 (2017 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/LISAT.2017.8001957

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title = "LIDAR for Scribbler 2: Enhancing sensing capabilities in an educational robot",

abstract = "This paper describes a project to enhance a commonly used educational robot, the Parallax Scribbler 2 (S2), by adding more sensor capabilities and making it truly autonomous. The S2 is a popular platform in high school and college robotics courses yet it lacks significant capacity that is compensated by often pairing it with Fluke 2, an interface/controller card developed by a third party group. However, while improving the robot's capability the Fluke card provides limited support for truly autonomous navigation, mainly due to the simplicity of some of the sensors as well as the technology used. In this project, the Fluke is replaced by a LIDAR (LIght Detection And Ranging) sensor with communication supported by a IOIO-OTG (pronounced 'yo-yo-O-T-G') developer board and an inexpensive Android device. The resulting platform will allow for more reliable mapping capabilities as well as open the door for S2 based autonomous navigation to be studied and developed as part of robotics education.",

keywords = "LIDAR, autonomous navigation, computer science education, mapping, robots",

author = "Miller, \{Kevin S.\} and Robila, \{Stefan A.\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2017 ; Conference date: 05-05-2017",

year = "2017",

month = aug,

day = "3",

doi = "10.1109/LISAT.2017.8001957",

language = "English",

series = "2017 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Miller, KS & Robila, SA 2017, LIDAR for Scribbler 2: Enhancing sensing capabilities in an educational robot. in 2017 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2017., 8001957, 2017 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2017, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2017, Farmingdale, United States, 5/05/17. https://doi.org/10.1109/LISAT.2017.8001957

LIDAR for Scribbler 2: Enhancing sensing capabilities in an educational robot. / Miller, Kevin S.; Robila, Stefan A.
2017 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 8001957 (2017 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - This paper describes a project to enhance a commonly used educational robot, the Parallax Scribbler 2 (S2), by adding more sensor capabilities and making it truly autonomous. The S2 is a popular platform in high school and college robotics courses yet it lacks significant capacity that is compensated by often pairing it with Fluke 2, an interface/controller card developed by a third party group. However, while improving the robot's capability the Fluke card provides limited support for truly autonomous navigation, mainly due to the simplicity of some of the sensors as well as the technology used. In this project, the Fluke is replaced by a LIDAR (LIght Detection And Ranging) sensor with communication supported by a IOIO-OTG (pronounced 'yo-yo-O-T-G') developer board and an inexpensive Android device. The resulting platform will allow for more reliable mapping capabilities as well as open the door for S2 based autonomous navigation to be studied and developed as part of robotics education.

AB - This paper describes a project to enhance a commonly used educational robot, the Parallax Scribbler 2 (S2), by adding more sensor capabilities and making it truly autonomous. The S2 is a popular platform in high school and college robotics courses yet it lacks significant capacity that is compensated by often pairing it with Fluke 2, an interface/controller card developed by a third party group. However, while improving the robot's capability the Fluke card provides limited support for truly autonomous navigation, mainly due to the simplicity of some of the sensors as well as the technology used. In this project, the Fluke is replaced by a LIDAR (LIght Detection And Ranging) sensor with communication supported by a IOIO-OTG (pronounced 'yo-yo-O-T-G') developer board and an inexpensive Android device. The resulting platform will allow for more reliable mapping capabilities as well as open the door for S2 based autonomous navigation to be studied and developed as part of robotics education.

KW - LIDAR

KW - autonomous navigation

KW - computer science education

KW - mapping

KW - robots

UR - https://www.scopus.com/pages/publications/85028620982

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DO - 10.1109/LISAT.2017.8001957

M3 - Conference contribution

AN - SCOPUS:85028620982

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BT - 2017 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2017

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ER -

Miller KS, Robila SA. LIDAR for Scribbler 2: Enhancing sensing capabilities in an educational robot. In 2017 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 8001957. (2017 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2017). doi: 10.1109/LISAT.2017.8001957

LIDAR for Scribbler 2: Enhancing sensing capabilities in an educational robot

Abstract

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UN SDGs

Keywords

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