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

Kevin S. Miller, Stefan Robila

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publication2017 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538638873
DOIs
StatePublished - 3 Aug 2017
Event2017 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2017 - Farmingdale, United States
Duration: 5 May 2017 → …

Publication series

Name2017 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2017

Other

Other2017 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2017
CountryUnited States
CityFarmingdale
Period5/05/17 → …

Fingerprint

Educational robots
robots
autonomous navigation
cards
robotics
sensors
Sensors
Navigation
Robotics
platforms
parallax
photographic developers
controllers
education
Education
communication
Robots
Controllers
Communication

Keywords

  • LIDAR
  • autonomous navigation
  • computer science education
  • mapping
  • robots

Cite this

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

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 proceedingConference contribution

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Miller KS, Robila S. 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). https://doi.org/10.1109/LISAT.2017.8001957