Principles of Robot Motion : Theory, Algorithms, and Implementations / by H. Choset and others. [Electronic Resource]
Material type: Computer filePublication details: Cambridge, Mass : A Bradford Book, 2005Description: xix, 603pISBN:- 9780262033275
- 629.892 C456P
Item type | Home library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|---|
e-Book | S. R. Ranganathan Learning Hub Online | Textbook | 629.892 C456P (Browse shelf(Opens below)) | Available | Platform : EBSCO | EB0586 |
Browsing S. R. Ranganathan Learning Hub shelves, Shelving location: Online, Collection: Textbook Close shelf browser (Hides shelf browser)
629.836 V95O Optimal Adaptive Control and Differential Games by Reinforcement Learning Principles | 629.89 B627E Exploring Arduino : Tools and Techniques for Engineering Wizardry | 629.892 401 9 B282H Human - Robot Interaction : An Introduction | 629.892 C456P Principles of Robot Motion : Theory, Algorithms, and Implementations | 629.893 2 Si15I Introduction to Autonomous Mobile Robots | 629.893 3 C771M Mobile Robots : Navigation, Control and Sensing, Surface Robots and AUVs | 629.8932 L382S Planning Algorithms |
A text that makes the mathematical underpinnings of robot motion accessible and relates low-level details of implementation to high-level algorithmic concepts.Robot motion planning has become a major focus of robotics. Research findings can be applied not only to robotics but to planning routes on circuit boards, directing digital actors in computer graphics, robot-assisted surgery and medicine, and in novel areas such as drug design and protein folding. This text reflects the great advances that have taken place in the last ten years, including sensor-based planning, probabalistic planning, localization and mapping, and motion planning for dynamic and nonholonomic systems. Its presentation makes the mathematical underpinnings of robot motion accessible to students of computer science and engineering, rleating low-level implementation details to high-level algorithmic concepts.
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