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ICRA
2006
IEEE
104views Robotics» more  ICRA 2006»
14 years 1 months ago
Implicit Coordination in Robotic Teams using Learned Prediction Models
— Many application tasks require the cooperation of two or more robots. Humans are good at cooperation in shared workspaces, because they anticipate and adapt to the intentions a...
Freek Stulp, Michael Isik, Michael Beetz
ITS
2010
Springer
130views Multimedia» more  ITS 2010»
14 years 5 days ago
Coordinate Geometry Learning Environment with Game-Like Properties
Mily’s World is a learning environment for coordinate geometry that has game-like properties, that is, elements of games that are engaging such as cover story, graphical represen...
Dovan Rai, Joseph E. Beck, Neil T. Heffernan
EMNLP
2007
13 years 8 months ago
A Discriminative Learning Model for Coordinate Conjunctions
We propose a sequence-alignment based method for detecting and disambiguating coordinate conjunctions. In this method, averaged perceptron learning is used to adapt the substituti...
Masashi Shimbo, Kazuo Hara
JMLR
2006
97views more  JMLR 2006»
13 years 7 months ago
Learning Coordinate Covariances via Gradients
We introduce an algorithm that learns gradients from samples in the supervised learning framework. An error analysis is given for the convergence of the gradient estimated by the ...
Sayan Mukherjee, Ding-Xuan Zhou
ICRA
2010
IEEE
162views Robotics» more  ICRA 2010»
13 years 5 months ago
Adaptive multi-robot coordination: A game-theoretic perspective
Multi-robot systems researchers have been investigating adaptive coordination methods for improving spatial coordination in teams. Such methods adapt the coordination method to th...
Gal A. Kaminka, Dan Erusalimchik, Sarit Kraus