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CDC
2010
IEEE
154views Control Systems» more  CDC 2010»
14 years 4 months ago
Multi-robot SLAM using M-Space feature representation
This paper presents a SLAM algorithm for a team of mobile robots exploring an indoor environment, described by adopting the M-Space representation of linear features. Each robot so...
Daniele Benedettelli, Andrea Garulli, Antonio Gian...
ICRA
2003
IEEE
167views Robotics» more  ICRA 2003»
15 years 2 months ago
Local exploration: online algorithms and a probabilistic framework
— Mapping an environment with an imaging sensor becomes very challenging if the environment to be mapped is unknown and has to be explored. Exploration involves the planning of v...
Volkan Isler, Sampath Kannan, Kostas Daniilidis
SBRN
2008
IEEE
15 years 4 months ago
Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing
The design of an autonomous navigation system for mobile robots can be a tough task. Noisy sensors, unstructured environments and unpredictability are among the problems which mus...
Eric A. Antonelo, Benjamin Schrauwen, Dirk Strooba...
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ICRA
2006
IEEE
123views Robotics» more  ICRA 2006»
15 years 3 months ago
Simultaneous Localization and Mapping with Environmental Structure Prediction
—Traditionally, simultaneous localization and mapping (SLAM) algorithms solve the localization and mapping problem in explored regions. This paper presents a prediction-based SLA...
H. Jacky Chang, C. S. George Lee, Yung-Hsiang Lu, ...
JIRS
2010
101views more  JIRS 2010»
14 years 8 months ago
Exploring the Effect of Obscurants on Safe Landing Zone Identification
Currently, robotic rotorcraft determine landing zones based on visual cues or predetermined GPS waypoints. Missions such as perch-and-stare or cargo delivery demand the ability to ...
Keith W. Sevcik, Noah Kuntz, Paul Y. Oh