Robotic Exploration and Landmark Determination
Language: English
Published by Springer Berlin Heidelberg, 2008
- Hardcover
- New
Condition: New
£ 101.84
Quantity: Over 20 available
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Presents recent research in robotic exploration and landmark determination using hardware-efficient algorithms and FPGA implementationsThis book presents hardware-efficient algorithms and FPGA implementations for two robotic tasks, namely expl.
Seller Inventory # 4900185
- Title
- Robotic Exploration and Landmark Determination
- Author
- K. Sridharan|Panakala Rajesh Kumar
- Publisher
- Springer Berlin Heidelberg
- Publication year
- 2008
- Condition
- New
- Binding
- Gebunden
- Language
- English
- ISBN 10
- 3540753931
- ISBN 13
- 9783540753933
- Dimensions
- 1 x 24.1 x 16.2
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
Much of the research effort in mobile robots in the recent past has been on sensing and design of time-efficient algorithms for tasks such as localization, mapping and navigation. Mobile robots typically employ an embedded computer for high level computations. As applications of robots expand, there is a need to investigate architecturally efficient choices for this embedded computing platform. In particular, it is valuable to process data to obtain time, space and energy-efficient solutions for various robotic tasks.
This book presents hardware-efficient algorithms and FPGA implementations for two robotic tasks, namely exploration and landmark determination. The work identifies scenarios for mobile robotics where parallel processing and selective shutdown offered by FPGAs are invaluable. The book proceeds to systematically develop memory-driven VLSI architectures for both the tasks. The architectures are ported to a low-cost FPGA with a fairly small number of system gates. A robot fabricated with this FPGA on-board serves to validate the efficacy of the approach. Numerous experiments with the robot are reported.
"Synopsis" may belong to another edition of this title.
From the Back Cover
Much of the research effort in mobile robots in the recent past has been on sensing and design of time-efficient algorithms for tasks such as localization, mapping and navigation. Mobile robots typically employ an embedded computer for high level computations. As applications of robots expand, there is a need to investigate architecturally efficient choices for this embedded computing platform. In particular, it is valuable to process data to obtain time, space and energy-efficient solutions for various robotic tasks.
This book presents hardware-efficient algorithms and FPGA implementations for two robotic tasks, namely exploration and landmark determination. The work identifies scenarios for mobile robotics where parallel processing and selective shutdown offered by FPGAs are invaluable. The book proceeds to systematically develop memory-driven VLSI architectures for both the tasks. The architectures are ported to a low-cost FPGA with a fairly small number of system gates. A robot fabricated with this FPGA on-board serves to validate the efficacy of the approach. Numerous experiments with the robot are reported.
"About the title" may belong to another edition of this title.
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