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» Covisibility-Based Map Learning Method for Mobile Robots
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IROS
2006
IEEE
159views Robotics» more  IROS 2006»
14 years 1 months ago
Multi-Level Surface Maps for Outdoor Terrain Mapping and Loop Closing
— To operate outdoors or on non-flat surfaces, mobile robots need appropriate data structures that provide a compact representation of the environment and at the same time suppo...
Rudolph Triebel, Patrick Pfaff, Wolfram Burgard
KI
2005
Springer
14 years 1 months ago
Heuristic-Based Laser Scan Matching for Outdoor 6D SLAM
6D SLAM (Simultaneous Localization and Mapping) or 6D Concurrent Localization and Mapping of mobile robots considers six dimensions for the robot pose, namely, the x, y and z coord...
Andreas Nüchter, Kai Lingemann, Joachim Hertz...
AR
2008
95views more  AR 2008»
13 years 7 months ago
Translating Structured English to Robot Controllers
Recently, Linear Temporal Logic (LTL) has been successfully applied to high-level task and motion planning problems for mobile robots. One of the main attributes of LTL is its clo...
Hadas Kress-Gazit, Georgios E. Fainekos, George J....
IJRR
2002
159views more  IJRR 2002»
13 years 7 months ago
Mapping Partially Observable Features from Multiple Uncertain Vantage Points
This paper presents a technique for mapping partially observable features from multiple uncertain vantage points. The problem of concurrent mapping and localization (CML) is state...
John J. Leonard, Richard J. Rikoski, Paul M. Newma...
AAAI
1994
13 years 9 months ago
Learning to Explore and Build Maps
Using the methods demonstrated in this paper, a robot with an unknown sensorimotor system can learn sets of features and behaviors adequate to explore a continuous environment and...
David Pierce, Benjamin Kuipers