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» Mobile Robotic Supported Collaborative Learning (MRSCL)
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IROS
2006
IEEE
159views Robotics» more  IROS 2006»
13 years 11 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
KES
2004
Springer
13 years 10 months ago
ADS as Information Management Service in an M-Learning Environment
Leveraging the potential power of even small handheld devices able to communicate wirelessly requires dedicated support. In particular, collaborative applications need sophisticate...
Matthias R. Brust, Daniel Görgen, Christian H...
ICRA
2008
IEEE
134views Robotics» more  ICRA 2008»
13 years 11 months ago
Towards robust place recognition for robot localization
— Localization and context interpretation are two key competences for mobile robot systems. Visual place recognition, as opposed to purely geometrical models, holds promise of hi...
Muhammad Muneeb Ullah, Andrzej Pronobis, Barbara C...
ICRA
2005
IEEE
116views Robotics» more  ICRA 2005»
13 years 10 months ago
Using Hierarchical EM to Extract Planes from 3D Range Scans
— Recently, the acquisition of three-dimensional maps has become more and more popular. This is motivated by the fact that robots act in the three-dimensional world and several t...
Rudolph Triebel, Wolfram Burgard, Frank Dellaert
ATAL
2010
Springer
13 years 6 months ago
Closing the learning-planning loop with predictive state representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon