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Using Mobile Robots To Explore Intelligent Behaviors: The Obstacle Course Challenge

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Conference

2002 Annual Conference

Location

Montreal, Canada

Publication Date

June 16, 2002

Start Date

June 16, 2002

End Date

June 19, 2002

ISSN

2153-5965

Conference Session

Computers in Education Poster Session

Page Count

7

Page Numbers

7.1264.1 - 7.1264.7

DOI

10.18260/1-2--11183

Permanent URL

https://strategy.asee.org/11183

Download Count

476

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Paper Authors

author page

Michael Ward

author page

Eugene Simmons

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Michael Doran

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Abstract
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract

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Session 1520

Using Mobile Robots to Explore Intelligent Behaviors: The Obstacle Course Challenge

Michael D. Ward, Michael V. Doran, W. Eugene Simmons

University of South Alabama School of Computer and Information Sciences Mobile, Alabama 36688

Abstract: A recently concluded NSF-ILI grant provided equipment to create hands-on laboratories for CIS students. The goal of this laboratory environment was to provide a setting to reinforce course concepts. One of the target courses was the Artificial Intelligence (AI) course. After the AI course, many students desired to pursue more tangible and applied experiences. Additional equipment was purchased to design and construct multiple mobile robotic platforms. With this equipment and a motivated group of students, a special topics course was created. The goal of this new course was to expand on the basic concepts of the AI course. Special topics involving motion, sensoring, planning, fault recovery and hardware/software interfacing were discussed and supported by supplemental readings from the literature. Each topic was linked to a laboratory exercise where students would design and implement both the hardware and software to accomplish an intelligent behavior. The ultimate challenge was to integrate the behaviors from the exercises into the ability to navigate an unknown obstacle course. The obstacle course was designed to include path following, landmark recognition, hitting a target, obstacle detection, obstacle avoidance, and path reacquisition. Students competed in teams of two and each team was evaluated on their robot’s ability to independently accomplish each task. The most successful teams were awarded prizes and shown on the local news report. The instructor found that the AI course served as a solid foundation for this new course and provided the opportunity to explore more advanced topics of AI and robotics. The students, having prior experience in the AI course, could be expected to have a more mature understanding of the literature and use it to develop their robotic projects. This paper will outline the goals of the course, the approach taken, problems encountered and solutions used along with lessons learned.

Introduction: This paper describes a new course developed to provide students with the opportunity to apply knowledge gained in earlier Artificial Intelligence (AI) courses to a more tangible domain. In this new special topics course, students, working in small groups, are required to design and

Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright Ó 2002, American Society for Engineering Education

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Ward, M., & Simmons, E., & Doran, M. (2002, June), Using Mobile Robots To Explore Intelligent Behaviors: The Obstacle Course Challenge Paper presented at 2002 Annual Conference, Montreal, Canada. 10.18260/1-2--11183

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