Introducing an experimental cognitive robotics curriculum at historically black colleges and universities

Authors:
Andrew B. Williams;David S. Touretzky;Ethan J. Tira-Thompson;LaVonne Manning;Chutima Boonthum;Clement S. Allen
Affiliations:
Spelman College, Atlanta, GA, USA;Carnegie Mellon University, Pittsburgh, PA, USA;Carnegie Mellon University, Pittsburgh, PA, USA;University of the District of Columbia, Washington, DC, USA;Hampton University, Hampton, VA, USA;Florida A&M University, Tallahassee, FL, USA
Venue:
Proceedings of the 39th SIGCSE technical symposium on Computer science education
Year:
2008

Citing 4
Cited 1

Artificial Intelligence: Structures and Strategies for Complex Problem Solving (5th Edition)

Artificial Intelligence: Structures and Strategies for Complex Problem Solving (5th Edition)
Distinctive Image Features from Scale-Invariant Keypoints

International Journal of Computer Vision
Robots make computer science personal

Communications of the ACM - Software product line
Dual-coding representations for robot vision programming in Tekkotsu

Autonomous Robots

An inexpensive hand-eye system for undergraduate robotics instruction

Proceedings of the 40th ACM technical symposium on Computer science education

Quantified Score

Hi-index	0.00

Visualization

Abstract

A successful collaboration between Spelman College and Carnegie Mellon University led to an NSF-funded Broadening Participation in Computing project to set up robotics education laboratories and introduce undergraduate instruction in cognitive robotics at three other Historically Black Colleges and Universities (HBCUs). We give a brief overview of cognitive robotics and the Tekkotsu software architecture, and describe our experiences teaching computer science students with no previous robotics exposure to program sophisticated mobile robots.