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IDA
2003
Springer
16 years 1 days ago
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
Axel Großmann, Matthias Wendt, Jeremy Wyatt
ETFA
2006
IEEE
15 years 10 months ago
Variable Pallet Pick-Up for Automatic Guided Vehicles in Industrial Environments
- This paper presents two laser scanner based approaches to locate and pick-up pallets with the aim of automating forklift trucks. In contrast to camera based systems our approache...
Daniel Lecking, Oliver Wulf, Bernardo Wagner
ISN
2000
Springer
130views Communications» more  ISN 2000»
15 years 10 months ago
A Mobile Agent Brokering Environment for the Future Open
The growth of commercial activities across networks has led to the network itself becoming a competitive marketplace with a multitude of vendors, operators and customers. In such a...
David Chieng, Ivan Ho, Alan Marshall, Gerard Parr
ICRA
2010
IEEE
134views Robotics» more  ICRA 2010»
15 years 5 months ago
Ground plane identification using LIDAR in forested environments
—To operate autonomously in forested environments, unmanned ground vehicles (UGVs) must be able to identify the load-bearing surface of the terrain (i.e. the ground). This paper ...
Matt W. McDaniel, Takayuki Nishihata, Christopher ...
ICAD
2004
15 years 8 months ago
Interacting With Sound: An Interaction Paradigm for Virtual Auditory Worlds
The visual and the auditory field of perception respond on different input signals from our environment. Thus, interacting with worlds solely trough sound is a very challenging ta...
Niklas Röber, Maic Masuch