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» Language-based Feedback Control Using Monte Carlo Sensing
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ICRA
2005
IEEE
115views Robotics» more  ICRA 2005»
10 years 3 months ago
Language-based Feedback Control Using Monte Carlo Sensing
Abstract— Landmark-based graphs are a useful and parsimonious tool for representing large scale environments. Relating landmarks by means of feedback-control algorithms encoded i...
Sean B. Andersson, Dimitrios Hristu-Varsakelis
CHI
2007
ACM
10 years 10 months ago
Show me the way to Monte Carlo: density-based trajectory navigation
We demonstrate the use of uncertain prediction in a system for pedestrian navigation via audio with a combination of Global Positioning System data, a music player, inertial sensi...
Steven Strachan, John Williamson, Roderick Murray-...
ACL
2011
9 years 1 months ago
Learning to Win by Reading Manuals in a Monte-Carlo Framework
This paper presents a novel approach for leveraging automatically extracted textual knowledge to improve the performance of control applications such as games. Our ultimate goal i...
S. R. K. Branavan, David Silver, Regina Barzilay
SIGIR
2005
ACM
10 years 3 months ago
Combining eye movements and collaborative filtering for proactive information retrieval
We study a new task, proactive information retrieval by combining implicit relevance feedback and collaborative filtering. We have constructed a controlled experimental setting, ...
Kai Puolamäki, Jarkko Salojärvi, Eerika ...
ATAL
2009
Springer
10 years 4 months ago
Towards multi-level modeling of self-assembling intelligent micro-systems
We investigate and model the dynamics of two-dimensional stochastic self-assembly of intelligent micro-systems with minimal requirements in terms of sensing, actuation, and contro...
Grégory Mermoud, Juergen Brugger, Alcherio ...
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