Robotic Mapping and Exploration (Record no. 23025)
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| 020 ## - | |
|---|---|
| -- | 9783642010972 |
| -- | 978-3-642-01097-2 |
| 024 7# - | |
| -- | 10.1007/978-3-642-01097-2 |
| -- | doi |
| 050 #4 - | |
| -- | TJ210.2-211.495 |
| 050 #4 - | |
| -- | TJ163.12 |
| 072 #7 - | |
| -- | TJFM |
| -- | bicssc |
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| -- | TJFD |
| -- | bicssc |
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| -- | TEC004000 |
| -- | bisacsh |
| 072 #7 - | |
| -- | TEC037000 |
| -- | bisacsh |
| 082 04 - | |
| -- | 629.8 |
| -- | 23 |
| 100 1# - | |
| -- | Stachniss, Cyrill. |
| -- | author. |
| 245 10 - | |
| -- | Robotic Mapping and Exploration |
| -- | [electronic resource] / |
| -- | by Cyrill Stachniss. |
| 264 #1 - | |
| -- | Berlin, Heidelberg : |
| -- | Springer Berlin Heidelberg, |
| -- | 2009. |
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| -- | XVIII, 196p. 89 illus. |
| -- | online resource. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
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| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 490 1# - | |
| -- | Springer Tracts in Advanced Robotics, |
| -- | 1610-7438 ; |
| -- | 55 |
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| -- | Basic Techniques -- I: Exploration with Known Poses -- Decision-Theoretic Exploration Using Coverage Maps -- Coordinated Multi-Robot Exploration -- Multi-Robot Exploration Using Semantic Place Labels -- II: Mapping and Exploration under Pose Uncertainty -- Efficient Techniques for Rao-Blackwellized Mapping -- Actively Closing Loops During Exploration -- Recovering Particle Diversity -- Information Gain-based Exploration -- Mapping and Localization in Non-Static Environments -- Conclusion. |
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| -- | "Robotic Mapping and Exploration" is an important contribution in the area of simultaneous localization and mapping (SLAM) for autonomous robots, which has been receiving a great deal of attention by the research community in the latest few years. The contents are focused on the autonomous mapping learning problem. Solutions include uncertainty-driven exploration, active loop closing, coordination of multiple robots, learning and incorporating background knowledge, and dealing with dynamic environments. Results are accompanied by a rich set of experiments, revealing a promising outlook toward the application to a wide range of mobile robots and field settings, such as search and rescue, transportation tasks, or automated vacuum cleaning. |
| 650 #0 - | |
| -- | Engineering. |
| 650 #0 - | |
| -- | Artificial intelligence. |
| 650 #0 - | |
| -- | Systems theory. |
| 650 #0 - | |
| -- | Control engineering systems. |
| 650 14 - | |
| -- | Engineering. |
| 650 24 - | |
| -- | Control , Robotics, Mechatronics. |
| 650 24 - | |
| -- | Artificial Intelligence (incl. Robotics). |
| 650 24 - | |
| -- | Systems Theory, Control. |
| 710 2# - | |
| -- | SpringerLink (Online service) |
| 773 0# - | |
| -- | Springer eBooks |
| 776 08 - | |
| -- | Printed edition: |
| -- | 9783642010965 |
| 830 #0 - | |
| -- | Springer Tracts in Advanced Robotics, |
| -- | 1610-7438 ; |
| -- | 55 |
| 856 40 - | |
| -- | http://dx.doi.org/10.1007/978-3-642-01097-2 |
| 912 ## - | |
| -- | ZDB-2-ENG |
| 950 ## - | |
| -- | Engineering (Springer-11647) |
| 999 ## - | |
| -- | 23025 |
| -- | 23025 |
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