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ML
1998
ACM
153views Machine Learning» more  ML 1998»
15 years 4 months ago
Bayesian Landmark Learning for Mobile Robot Localization
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
Sebastian Thrun
RAS
2007
87views more  RAS 2007»
15 years 4 months ago
Vision-based interception of a moving target with a nonholonomic mobile robot
A novel vision-based scheme is presented for driving a nonholonomic mobile robot to intercept a moving target. The proposed method has a two-level structure. On the lower level, t...
Luigi Freda, Giuseppe Oriolo
RAS
2008
140views more  RAS 2008»
15 years 4 months ago
Conceptual spatial representations for indoor mobile robots
We present an approach for creating conceptual representations of human-made indoor environments using mobile robots. The concepts refer to spatial and functional properties of ty...
Hendrik Zender, Óscar Martínez Mozos...
SECON
2010
IEEE
15 years 2 months ago
Batch Scheduling of Recurrent Applications for Energy Savings on Mobile Phones
Abstract--Recurrent applications that mostly run in the background are a significant source of power consumption on batterylimited mobile phones. We highlight the pitfalls of sched...
Matt Calder, Mahesh K. Marina
ASSETS
2009
ACM
15 years 2 months ago
Fall and emergency detection with mobile phones
In this demo, we present an application for mobile phones which can monitor physical activities of users and detect unexpected emergency situations such as a sudden fall or accide...
Hamed Ketabdar, Tim Polzehl