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HRI
2006
ACM
14 years 2 months ago
Effective team-driven multi-model motion tracking
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use object motion models to estimate the position of a moving object. Tracking effic...
Yang Gu, Manuela M. Veloso
ABIALS
2008
Springer
13 years 10 months ago
Anticipatory Driving for a Robot-Car Based on Supervised Learning
Abstract. Prediction and Planning are essential elements of successful human driving, making them equally important for autonomously driving systems. Many approaches achieve planni...
Irene Markelic, Tomas Kulvicius, Minija Tamosiunai...
ICRA
2009
IEEE
170views Robotics» more  ICRA 2009»
14 years 2 months ago
Imitation learning with generalized task descriptions
— In this paper, we present an approach that allows a robot to observe, generalize, and reproduce tasks observed from multiple demonstrations. Motion capture data is recorded in ...
Clemens Eppner, Jürgen Sturm, Maren Bennewitz...
AGP
2010
IEEE
13 years 11 months ago
Agents, Multi-Agent Systems and Declarative Programming: What, When, Where, Why, Who, How?
This chapter tackles the relation between declarative languages and multi-agent systems by following the dictates of the five Ws (and one H) that characterize investigations. The ...
Matteo Baldoni, Cristina Baroglio, Viviana Mascard...
BMCBI
2008
153views more  BMCBI 2008»
13 years 8 months ago
How to make the most of NE dictionaries in statistical NER
Background: When term ambiguity and variability are very high, dictionary-based Named Entity Recognition (NER) is not an ideal solution even though large-scale terminological reso...
Yutaka Sasaki, Yoshimasa Tsuruoka, John McNaught, ...