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Product Description
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.
Book Info
Case studies of successful robot systems selected from among the best available implementations by leading universities & research laboratories. Test robots have been tested in natural and unknown environments performing different tasks. Paper. DLC: Mobile robots - Case studies.
See all Editorial Reviews
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.
Book Info
Case studies of successful robot systems selected from among the best available implementations by leading universities & research laboratories. Test robots have been tested in natural and unknown environments performing different tasks. Paper. DLC: Mobile robots - Case studies.
See all Editorial Reviews
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11
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- Sensor Based Intelligent Robots: International Workshop, Dagstuhl Castle, Germany, October 15-20, 2000. Selected Revised Papers (Lecture Notes in Computer Science) by Gregory D. Hager on page 304
- Intelligent Systems: Technology and Applications, Six Volume Set by Cornelius T. Leondes in Back Matter
- Connectionist Models of Learning, Development and Evolution: Proceedings of the Sixth Neural Computation and Psychology Workshop, Liege, Belgium, 16-18 ... 2000 (Perspectives in Neural Computing) by Robert M. French on page 62
- Advances in Robot Learning: 8th European Workhop on Learning Robots, EWLR-8 Lausanne, Switzerland, September 18, 1999 Proceedings (Lecture Notes in Computer Science) by Jeremy Wyatt on page 137
- Rough Set Theory and Granular Computing (Studies in Fuzziness and Soft Computing) by Masahiro Inuiguchi in Back Matter
See all 11 books citing this book