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148
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ROBOCUP
2005
Springer
140views Robotics» more  ROBOCUP 2005»
15 years 11 months ago
Cooperative Action Control Based on Evaluating Objective Achievements
This paper deals with a cooperative control method for a multi-agent system in dynamic environment. This method enables a robot to perform flexible cooperation based on the global ...
Hikari Fujii, Masayuki Kato, Kazuo Yoshida
HRI
2007
ACM
15 years 10 months ago
Efficient model learning for dialog management
Intelligent planning algorithms such as the Partially Observable Markov Decision Process (POMDP) have succeeded in dialog management applications [10, 11, 12] because of their rob...
Finale Doshi, Nicholas Roy
AR
2007
138views more  AR 2007»
15 years 6 months ago
Integrating robotics and neuroscience: brains for robots, bodies for brains
—Researchers in robotics and artificial intelligence have often looked at biology as a source of inspiration for solving their problems. From the opposite perspective, neuroscie...
Michele Rucci, Daniel Bullock, Fabrizio Santini
188
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ICRA
2003
IEEE
222views Robotics» more  ICRA 2003»
15 years 11 months ago
Path planning using learned constraints and preferences
— In this paper we present a novel method for robot path planning based on learning motion patterns. A motion pattern is defined as the path that results from applying a set of ...
Gregory Dudek, Saul Simhon
175
Voted
AAAI
2012
13 years 8 months ago
Learning Games from Videos Guided by Descriptive Complexity
In recent years, several systems have been proposed that learn the rules of a simple card or board game solely from visual demonstration. These systems were constructed for speci...
Lukasz Kaiser