Artificial Intelligence and Mobile Robots: Case Studies of Successful Robot Systems

The mobile robot systems described in this book were selected from among the best available implementations by leading universities and research laboratories. These are robots that have left the lab and been tested in natural and unknown environments. They perform many different tasks, from giving tours to collecting trash. Many have distinguished themselves (usually with first- or second-place finishes) at various indoor and outdoor mobile robot competitions. Each case study is self-contained and includes detailed descriptions of important algorithms, including pseudo-code. Thus this volume serves as a recipe book for the design of successful mobile robot applications. Common themes include navigation and mapping, computer vision, and architecture.

Contributors
Ronald Arkin, Tucker Balch, Michael Brady, Don Brutzman, Arno Bucken, R. James Firby, Erann Gat, Tony Healy, Ian Horswill, Housheng Hu, Sven Koenig, Kurt Konolige David Kortenkamp, Dave Marco, Bob McGhee, Robin Murphy, Karen Myers, Illah Nourbakhsh, Peter Prokopowicz, Bill Schiller, Reid Simmons, Michael Swain, Sebastian Thrun

David Kortenkamp is Co-Founder and Senior Scientist at Texas Robotics and Automation Center, NASA Johnson Space Center.

Robin R. Murphy is Raytheon Professor of Computer Science and Engineering at Texas A&M University, where she is also Director of the Center for Robot-Assisted Search and Rescue. She is the author of Introduction to AI Robotics and Disaster Robotics and the editor of Robotics Through Science Fiction (all published by the MIT Press).